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SPG01: 3D and Video Signal Processing , Sun 1400-1600, A1 |
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Oral Session: |
SPG01-01 (Paper ID: 2340) |
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Title: |
3D Real-Time Measurement and Its Application of the Dynamic Inconstant Object |
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Authors: |
Qian Zhao, Xinya Xu |
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Affiliation: |
(School of Communication and Information Engineering Xi’an University of Science
and Technology, Xi’an, China) |
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Abstract: |
3D real-time measurement of the dynamic inconstant object is one of the most
significant and promising modern methods. Currently existing methods also have
their own characteristics and advantages, but they are single and limited. Based
on the actual development situation of 3D measurement technology, five typical
3D optical measurement methods are summarized, and the triple-frequency color
fringe projection profilometry are combined to develop the experiment for
monitoring the deformation of the observed colliery slope. The results
demonstrate that the method can more accurately and effectively obtain 3D height
information of the colliery slope. |
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Oral Session: |
SPG01-02 (Paper ID: 2357) |
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Title: |
Low Complexity Texture Mode Decision Method for 3D-HEVC |
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Authors: |
Yuxin Song, Kebin Jia, Qiang Wu |
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Affiliation: |
(College of Electronic Information & Control Engineering Beijing University of
Technology, Beijing, China) |
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Abstract: |
High efficiency video coding (HEVC) based 3D video coding (3D-HEVC) is the
latest 3D video coding standard under development. In 3D-HEVC, most of coding
units (CU) select merge modes as their best modes. However, they still have to
check a large number of irrelevant candidate modes in mode decision process,
which brings significant complexity. In this paper, we propose a low complexity
texture mode decision method for dependent texture views. First, Coding modes of
inter-view reference group and upper-depth CU are used to obtain a coarse
combination of merge mode coded CUs in the current frame. Then, skip mode coded
CUs are distinguished from merge mode coded CUs in the combination. CUs in the
combination only check limited modes in mode decision process according to their
determined modes. Experimental results demonstrate that the proposed method can
achieve average 11.2% of encoding time saving and 69.4% of complexity reduction
with negligible rate distortion performance loss. |
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Oral Session: |
SPG01-03 (Paper ID: 2391) |
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Title: |
A New Virtual View Synthesis Method Using SLIC-Based Hole Filling |
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Authors: |
Xiaotian Qiao1, 2, Dongxiao Li1, 2, Juerong Wu1, 2, Lianghao Wang1, 2, Ming
Zhang1, 2 |
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Affiliation: |
(1College of Information Science and Electronic Engineering, Zhejiang
University, China 2Zhejiang Provincial Key Laboratory of Information Network
Technology, China) |
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Abstract: |
This paper presents a new virtual view synthesis method with depth map
preprocessing and superpixel segmentation based hole filling. First, in order to
reduce the ghosting artifacts caused by the misalignment between depth and
texture, the depth image is preprocessed through expanding the regions of
foreground objects. Virtual view images are then generated using the
depth-image-based rendering algorithm. Second, the original reference color
image is segmented into superpixels using simple linear iterative clustering
algorithm. Finally, an oriented hole filling method is utilized to fill the
disoccluded regions. For each hole pixel, instead of using exemplar patches, a
set of candidate superpixels is selected from SLIC segmentations to form the
sample space, and the best matching superpixel with the minimum cost is chosen
to fill the hole. Experimental results demonstrate that comparing with the
state-of-the-art methods, the subjective and objective quality of the
synthesized virtual view images are substantially improved with the proposed
method. |
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Oral Session: |
SPG01-04 (Paper ID: 2493) |
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Title: |
Point Clouds Registration with Surfaces of Low Curvatures |
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Authors: |
Juan Li, Guang Jiang |
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Affiliation: |
(State Key Laboratory of Integrated Service Networks, School of
Telecommunications Engineering, Xidian University, Xi’an 710071, Shaanxi, P. R.
China) |
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Abstract: |
In this paper, we propose a novel method for point clouds registration. In point
clouds, there always exist a large number of surfaces with low curvatures. Let
the surface locate in an OXYZ coordinate system, if we rotate the mean normal of
the surface parallel with the Z axis, the 3D surface can be projected to 2D
image via orthographic projection. Then we can detect and describe SIFT features
in the 2D image. For two point clouds, we can find matched features between
these 2D images. As we know the relationship between 2D images and 3D point
clouds, the corresponding 3D points between different point clouds can be
obtained. Further, we use the SVD method to estimate the transformation
parameters between two point clouds. Moreover, in order to obtain the parameters
robustly, the RANSAC method is combined to reject error matchings. The proposed
method is able to register the point clouds effectively, and it is demonstrated
in experiments. |
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Oral Session: |
SPG01-05 (Paper ID: 2544) |
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Title: |
A Spatial Weighting based Interpolation Method for DIBR |
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Authors: |
Hui Wang, Zongju Peng, Renzhi Jiao,
Chengkai Sheng, Fen Chen |
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Affiliation: |
(Faculty of Information Science and Engineering, Ningbo University, Ningbo,
China) |
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Abstract: |
The DIBR is a novel technology used for generating virtual views has been widely
used recently. However, due to imperfect depth maps, annoying artifacts appear
in the virtual view images. To generate high quality intermediate virtual view
images, this paper proposes a spatial weighting based interpolation method. The
weighted average of mapped pixels near the integer pixel is adopted as the final
interpolation value. The weighted factors of each mapped pixel are determined by
the distance between its position and the current integer pixel’s position, and
its depth value. Extensive experiments show that the proposed method acquires a
satisfying rendering effect both subjectively and objectively. |
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Oral Session: |
SPG01-06 (Paper ID: 2658) |
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Title: |
Study on 3D Virtual Experiment Teaching System |
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Authors: |
Tian Ma, Hongmei Jin, Benyuan Ma, Zhanli Li |
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Affiliation: |
(College of Computer Science & Technology Xi’an University of Science &
Technology, Xi’an, China) |
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Abstract: |
To ensure the safe operation of dangerous experiment teaching, a
three-dimensional (3D) virtual experiment system was developed based on
OpenSceneGraph (OSG), which would provide a safe and simple virtual lab
environment for students. The virtual scene was rendered and managed through 3D
engine OSG. Firstly, the system’s architecture and scene organization were
analyzed and designed. Secondly, a general experiment data format was designed
and the operation processing method was realized, which could be used to
customize applications for various experimental items easily. The application
results show that this system had good performance on real-time and operability,
and could make the students to master the security measures and experimental
procedures efficiently. |
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Oral Session: |
SPG01-07 (Paper ID: 2487) |
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Title: |
Research on Scattered Points Cloud Denoising Algorithm |
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Authors: |
Fu Yan, Zhai Jinlei |
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Affiliation: |
（College of Computer Science and
Technology Xi’an University of Science and Technology, Xi’an, Shaanxi, China） |
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Abstract: |
The raw data of cloud produced by 3D scanning tools contains additive noise from
various resources. We study the related research at home and abroad. Aiming at
the problem that the bilateral filtering algorithm can't well denoise the points
data in the flat region and save the model geometric feature at the same time,
this paper introduces the bilateral filter in points g algorithm’s principle and
its advantage and disadvantage. Then we improve the search method of any points’
k neighbors of K-D tree and put forward a points cloud denoising algorithm based
on feature. This algorithm absorbs the advantages of the bilateral filtering
algorithm in image processing and the plane projection algorithm, which can
ideally smooth the flat region and can keep the model geometric feature of
detail region. At last, we prove the correctness and effectiveness of this
paper’s denoising algorithm by the experiments. |
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SPG02: Audio and Speech Processing, Sun 1620-1820, A1 |
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Oral Session: |
SPG02-01 (Paper ID: 2273) |
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Title: |
Ambisonics Reproduction with Distance Information |
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Authors: |
Zheng-yang Sun, Chang-chun Bao, Mao-shen Jia, Bing Bu, Meng-fang Zha |
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Affiliation: |
(Speech and Audio Signal Processing Laboratory School of Electronic Information
and Control Engineering Beijing
University of Technology, Beijing, China) |
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Abstract: |
With the development of 3D audio, distance rendering in multi-channel spatial audio is becoming
a focused issue. In this paper, a sound field reproduction method with distance
information based on Ambisonics is proposed. By utilizing Image Method (IM) in
Ambisonics, propagating function with distance information, which is expressed
via acoustic intensity and Direct-to-Reverberant energy Ratio (DRR), is
obtained. Combined it with variable separation, the loudspeaker driving signal
with distance information can be derived eventually. The experimental results
show that the proposed method validly reconstructed the target sound field and
achieved the purpose of distance rendering. |
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Oral Session: |
SPG02-02 (Paper ID: 2275) |
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Title: |
Integrating Codebook and Wiener Filtering for Speech Enhancement |
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Authors: |
Dong-ming Zhang, Chang-chun Bao, Feng Deng |
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Affiliation: |
(Speech and Audio Signal Processing Laboratory School of Electronic Information
and Control Engineering Beijing University of Technology, Beijing, China) |
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Abstract: |
In this paper, we propose a speech enhancement approach integrating codebook and
Wiener filtering. Codebook-based method could reserve speech spectrum well, but
leaves a large amount of residual noise. Signal to noise ratio
(SNR)-estimation-based Wiener filtering method could reduce noise well, but
leads to relatively serious speech distortion. To solve the problem, the gain
functions of the above two methods are weighted to obtain an integrated gain
function by utilizing a sigmoid function related to a posteriori SNR. The
performance tests show that the performance of the proposed approach is better
than codebook-based method in reducing the background noise and
SNR-estimation-based algorithm in retaining speech spectrum. |
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Oral Session: |
SPG02-03 (Paper ID: 2284) |
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Title: |
Three-Dimensional Sound Field Reproduction Based on Multi-Resolution Sparse
Representation |
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Authors: |
Guangfei Zhang, Qinghua Huang, Kai Liu |
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Affiliation: |
(Key Laboratory of Specialty Fiber and Optical Access Networks Shanghai
University, Shanghai, China) |
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Abstract: |
In this paper, a multi-resolution sparse representation method is proposed to
reproduce three-dimensional (3D) Higher Order Ambisonics (HOA) sound fields. The
multi-resolution dictionaries are constructed from low to high spatial angle
resolution. Based on these dictionaries, the positions of virtual plane wave
sources are estimated by complex least absolute shrinkage and selection operator
(CLASSO) algorithm. The proposed method can effectively localize primary sources
and reduce the computation complexity. Finally the signals of virtual plane
waves are adjusted by a debiasing step to derive proper loudspeaker weights.
Simulation results show that the proposed method can improve the 3D reproduction
performance with a few active loudspeakers and enlarge the size of the spatial
sweet spot. |
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Oral Session: |
SPG02-04 (Paper ID: 2377) |
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Title: |
A Realtime Analysis/Synthesis Gammatone Filterbank |
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Authors: |
Youwei Yang, Yi Jiang, Runsheng Liu, Dongmei Li |
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Affiliation: |
(Dept. of Electronic Engineering Tsinghua University, Beijing, China) |
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Abstract: |
Gammatone filterbanks are widely used
in computational auditory models for modeling the peripheral filtering function
of the cochlea. However, the high computational complexity and time consumption
limits its usage in portable acoustic applications. To address this issue, a
realtime and efficient digital implementation of Gammatone filterbank is
proposed. The decomposed signal can be resynthesized by summation directly. We
systematically examine the Gammatone filterbank with perceptual evaluation of
speech quality (PESQ), Short-Time Objective Intelligibility (STOI) ,
signal-to-noise ratio (SNR) and computational complexity. Evaluations and
comparisons show that the proposed method has good performance and less
computational complexity. |
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Oral Session: |
SPG02-05 (Paper ID: 2570) |
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Title: |
Inverse Truncated Mixing Matrix (ITMM) Algorithm Application to Underdetermined
Convolutive Blind Speech Sources Separation |
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Authors: |
Peng Tianliang, Chen Yang |
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Affiliation: |
(School of Information Science and Engineering,
Southeast University, Nanjing, China) |
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Abstract: |
Inverse Truncated Mixing Matrix (ITMM) is a powerful method for underdetermined
instantaneous blind source separation [1]. In this paper, we generalize ITMM
algorithm to underdetermined convolutive blind source separation case. The
proposed algorithm can be divided into two steps. The first step is the mixing
filters estimation. The convolutive mixture can become an instantaneous mixture
in time-frequency (TF) domain under some narrowband assumptions. Then, we used
cluster method to estimate mixing matrix in every frequency bin. The second step
is the source recovery part, we used ITMM method to mixing matrix in every
frequency bin to source recovery in TF domain. Experimental evaluations are
gained in artificial Room Impulse Responses (RIRs) environments, compared with
conventional algorithms, the ITMM algorithm can separate speech sources to a
higher signal-to-interference ratio (SIR). |
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Oral Session: |
SPG02-06 (Paper ID: 2612) |
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Title: |
Combining Compressive Sensing with Particle Filter for Tracking Moving Wideband
Sound Sources |
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Authors: |
Fangli Ning1, Dan Gao2, Junru Niu2, |
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Affiliation: |
(1School of Mechanical Engineering Northwestern Polytechnical University,
Xi’an, Shaanxi, P. R. China 2School of Communication Engineering |
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Abstract: |
Recent work has demonstrated the superiority of compressive sensing (CS) for the
sound source localization. Using the microphone array, the direction-of-arrival
(DOA) estimation is obtained by using the wideband extensions of CS technique.
For tracking moving wideband sound sources, a method combined CS with particle
filter (PF) algorithm is proposed. Each source is approximated by a set of
particles with different weights assigned. Based on the DOA estimation, the
kernel density estimator is as the likelihood function to estimate the
probability of particle position. The uniform linear array and random linear
array are employed in the study. For the uniform linear array, the spatial
aliasing is the main offset for DOA estimation using CS method. The result shows
that the spatial aliasing is disappeared and the tracking trajectory is
consistent with the true source trajectory. For the random linear array, the
offset at endfire is the main offset for DOA estimation using CS method. Results
show that the DOA tracking for moving wideband sound sources using the proposed
method can obtain a good performance with a maximum offset no more than 3 degree
and an average error no more than 1 degree. |
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Oral Session: |
SPG02-07 (Paper ID: 2430) |
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Title: |
Speech Enhancement Using a Joint MAP Estimation of LP Parameters |
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Authors: |
Research of Sidelobe Suppression of RDA and CSA Imaging Algorithms |
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Affiliation: |
(Speech and Audio Signal Processing Laboratory School of Electronic Information
and Control Engineering, Beijing
University of Technology, Beijing, China) |
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Abstract: |
Codebook-based speech enhancement approach is an effective method for reducing
non-stationary noise. In view of the inaccurate problem of estimating the
short-term predictor parameters of the speech and noise, this paper proposes a
codebook-based maximum posteriori probability (MAP) speech enhancement approach
by combining MAP estimation and codebook-based method. Based on the prior
information and inter-frame correlation of the short-term predictor parameters,
the paper develops both memoryless and memory-based MAP predictor parameters
estimators which optimally get the spectral shapes and the corresponding
excitation variances. In order to further improve the accuracy of the
parameters, a novel approach of estimating the excitation variances is proposed
for the memory-based case. Experimental results show that, in comparison with
the reference method, the proposed method can get better performance under
various noise conditions. |
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SPG03: Multimedia Signal Processing, Tue 0830-1030, A1 |
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Oral Session: |
SPG03-01 (Paper ID: 2610) |
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Title: |
A Marker-Less Two-Hand Gesture Recognition System using Kinect Depth Camera |
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Authors: |
Chong Wang1, Xu-Hua Shi1, Lin-Wan Liu2, Shing-Chow Chan2 |
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Affiliation: |
(1Faculty of Electrical Engineering and Computer Science Ningbo University,
Ningbo 2Department of Electrical and Electronic Engineering |
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Abstract: |
This paper presents a marker-less two-hand gesture recognition system based on
Kinect. Using the depth and skeleton from Kinect, mark-less hand extraction is
achieved. Finger Earth Mover’s Distance (FEMD) is then applied as the
measurement to recognize the gestures, with the help of a new morphological
finger extraction method. A two-hand based user interface is designed and
implemented to provide intuitive and robust human-computer interaction. The
effectiveness of the proposed gesture recognition algorithm and UI system is
illustrated by experimental results. |
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Oral Session: |
SPG03-02 (Paper ID: 2336) |
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Title: |
Efficient Reconstruction of Super-Resolution Images using an Improved Orthogonal
Matching Pursuit Algorithm |
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Authors: |
Xiaofei Yu, Gaoting Zheng, Baixiang Wang |
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Affiliation: |
(Institute of Electronic Circuit and Information System Zhejiang University,
China) |
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Abstract: |
This paper presents an improved reconstruction algorithm of super-resolution
images using the compressed sensing theory. In particular, Gaussian low-pass
filters are proposed to reduce the coherence between the observation matrix and
transform matrix for signal representation such that the problem of
super-resolution can be formulated as a proper CS reconstruction problem.
Experimental results have shown that the proposed algorithm can reduce the
computational cost for super-resolution reconstruction from a single image
without loss of subjective visual quality. |
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Oral Session: |
SPG03-03 (Paper ID: 2501) |
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Title: |
An Improved Exposure Fusion of Image Pairs with Window Constraint |
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Authors: |
Mali Yu, Hai Zhang |
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Affiliation: |
(School of Information Science & Technology Jiujiang University, Jiujiang,
China) |
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Abstract: |
The real scene often has too High Dynamic Range (HDR) to be captured in a single
common digital image. Exposure fusion is a simple, direct and effective method
to transform multiple Low Dynamic Range (LDR) images under different exposure
settings into a single HDR-like LDR image. A pair of exposure bracketed images
often contains insufficient image information of the scene, so the classic
methods generate undesirable results especially in the transition regions. In
this paper we introduce a novel optimization model for adjusting the weight maps
defined by the Mertens’ method. Our weight-adjustment method is performed on
overlapping windows all over the pixels in the image domain. Using this method,
the global visual effect and the local detail can be preserved even in
challenging pair of images that contains insufficient information. Experimental
results demonstrate that our method obtain natural images. Comparisons with the
Mertens’ method show that our algorithm can generate better quality images. |
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Oral Session: |
SPG03-04 (Paper ID: 2530) |
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Title: |
Improved Overlapped Block Motion Compensation Using Adaptive Weighting Matrices
Design for 3D Wavelet-based Scalable Video Coding |
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Authors: |
Ying Chen, Guizhong Liu |
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Affiliation: |
(School of Electronic and Information Engineering Xi’an Jiaotong University,
Xi’an, China) |
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Abstract: |
Recently, scalable video compression using three-dimensional (3D) discrete
wavelet transform has become a promising competitor in the scalable video coding
(SVC) field. Overlapped block motion compensation (OBMC) is considered to be a
key component of most efficient block-based motion estimation and compensation
technologies for 3D wavelet-based SVC. However, the conventional OBMC approach
globally smoothes out the prediction intensity field with the uniform window
function for all the same-sized blocks, with the result that sharp features such
as blocky edges are blurred or over-smoothed in the motion-compensated
prediction. In this paper, we propose an improved OBMC scheme that adopts
adpative weighting matrices for the case of variable block size motion
compensation. Specifically, we resort to a parametric solution in closed form to
express the optimal weights for the OBMC windows, based on the spatially-variant
prediction of motion vectors. For our OBMC weighting matrices, the proposed
interpolation algorithm is more effective in enhancing the coding performance
than the most widely used interpolation algorithms, along with both the
theoretical and empirical analyses. Experimental results show significant
improvement over existing successful 3D wavelet-based scalable video codecs in
both objective and subjective quality. |
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Oral Session: |
SPG03-05 (Paper ID: 2545) |
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Title: |
An Improved Method of SSIM Based on Visual Regions of Interest |
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Authors: |
Fu Yan, Cao Min |
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Affiliation: |
(College of Computer Science and Technology Xi’an University of Science and
Technology, Xi’an, Shaanxi, China) |
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Abstract: |
Image quality assessment is always a hot research topic in the field of image
processing．Structural Similarity
Image Measurement (SSIM) is an image quality assessment algorithm with the
advantages of simplicity, high efficiency and better consistence. Its evaluation
of performance is better than PNSR and MSE. However, it often fails when
assessing badly distorted or cross distorted images. In this paper, we proposed
a new method on the improved method of SSIM and the method of based on visual
region of interest combination. This improved method of SSIM takes the histogram
concentration as the main structural information of an image. It used histogram
concentration to calculate the fuzzy degree of the image. Finally, we can obtain
the structure similarity value of the image. The experiment results show that,
compared with the SSIM model, the proposed RoiHSSIM model is more close to the
human visual system and can access the quality of fault images more precisely. |
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Oral Session: |
SPG03-06 (Paper ID: 2587) |
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Title: |
Sequential Error Concealment via Canonical Correlation Analysis |
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Authors: |
Wen Fan1, Junli Liang2, Xin Ye1, Min Li1 |
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Affiliation: |
(1School of Automation and Information Engineering Xi’an University of
Technology, Xi'an, China 2School of Electronics and Information |
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Abstract: |
In this paper, we propose a new error concealment algorithm for video/image
based on canonical correlation analysis (CCA). Motivated by the Intra prediction
in H.264/AVC, it is reasonable to assume that there is a strong spatial
correlation relationship between the lost regions and their known adjacent
regions. Based on the above idea, we use CCA to estimate a correlation
projection matrix which utilizes the loss of macro block adjacent spatial
information, then we use the projection matrix and the adjacent region to
estimate missing pixel area. In addition, in order to use the spatial
information efficiently, we apply the neighbor-embedding-type weight into the
afore-mentioned CCA model. Experimental results demonstrate that the proposed
method improves the subjective and objective image quality to a large extent in
comparison with other existing methods. |
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Oral Session: |
SPG03-07 (Paper ID: 2203) |
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Title: |
The Analysis of Three-Dimensional Shooting Engine’s Precision based on CADET |
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Authors: |
Guoyun Lv, Liang Wang |
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Affiliation: |
(School of Electronic and Information Northwestern Polytechnical University,
Xi’an, China) |
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Abstract: |
In this paper, a novel analytical method based on CADET (covariance analysis
description equation technique) is proposed to solve the computing problem of
the precision of the three-dimensional shooting engine when evaluating the
effectiveness of the three-dimensional virtual shooting system. This method
statistical linearizes the nonlinear factors that will affect shooting accuracy,
and then get the propagation equation of mean and covariance. The simulation
results show that compared with the Monte-Carlo method, and under conditions of
the closely accuracy, computational complexity is greatly reduced with the
method CADET, and the calculation results are more accurate. |
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SPG04: Radar and Sonar Systems I, Mon 0830-1030, A1 |
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Oral Session: |
SPG04-01 (Paper ID: 2223) |
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Title: |
Ground Moving Targets Imaging via Compressed Sensing Based on Discrete FrFT |
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Authors: |
Luo Ying1,2, Liu Hong-wei1, Gu Fu-fei2,
Zhang Qun2, Yu Bin3 |
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Affiliation: |
(1. Key Lab. for Radar Signal Processing, Xidian University, Xi’an, China; 2.
Inst. of Information and Navigation, Air Force Engineering University, Xi’an,
China; 3. Inst. of Science, Air Force Engineering University, Xi’an, China) |
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Abstract: |
To reduce the amount of echo data in ground moving targets imaging, an imaging
method of ground moving targets is proposed with compressed data based on
discrete fractional Fourier transform and Compressed Sensing. Firstly, the DPCA
technique is induced to cancel the clutters with the range-compression signals.
Secondly, based on the sparsity of the azimuth signals of the moving targets in
fractional Fourier domain, the discrete fractional Fourier transform matrix is
constructed as the sparse basis matrix. Then the imaging processing of the
moving targets with random down-sampled data is converted into solving an
optimization problem, and also the moving parameters of moving targets are
obtained by the optimal orders. Finally, the feasibility and effectiveness of
the proposed method is proved by the simulation results. |
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Oral Session: |
SPG04-02 (Paper ID: 2232) |
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Title: |
An ESPRIT-like Algorithm for Angle Estimation Based on Fourth Cumulant in
Bistatic MIMO Radar |
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Authors: |
Liu Haomiao, Ma Hongguang, Liu Zhiqiang, Xu Donghui |
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Affiliation: |
(Xi’an Research Institute of High Technology, Xi’an, China) |
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Abstract: |
This paper proposes a novel ESPRIT(Estimation of Signal Parameters via
Rotational Invariance Techniques)-like algorithm for DOD (Direction of
Departure) and DOA (Direction of Arrival) estimation in bistatic MIMO (Multiple
Input Multiple Output) radar in order to reduce computational burden of
conventional methods based on the fourth-order cumulant. Firstly, the
fourth-order cumulant matrix of received data is computed which extends the
aperture and restrains Gaussian colored noise. Secondly, considering of the high
dimensions of virtual steering vector, an exchange matrix and a
reduced-dimensional matrix are employed to transform the data matrix into a low
dimensional space with the structure of conjugate symmetry. Thirdly, the real
signal space and noise space are got from the complex covariance of virtual
array. Then DOD and DOA are estimated, based on the rotational invariance
techniques in the real number field. The proposed algorithm reduces the data
dimensions from MN×MN to (2M-1)(2N-1), then estimates angles in the real number
field, which can greatly avoid high computational cost. It also extends antenna
aperture, and restrains the influence of the colored noise. The numerical
simulation results demonstrate the efficiency of the proposed method. |
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Oral Session: |
SPG04-03 (Paper ID: 2239) |
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Title: |
Radar Coincidence Imaging with Array Position Error |
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Authors: |
Xianwu Xu, Xiaoli Zhou, Yongqiang Cheng, Yuliang Qin |
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Affiliation: |
(School of Electronic Science and Engineering National University of Defense
Technology, Changsha, China) |
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Abstract: |
As a novel staring imaging technique, radar coincidence imaging (RCI) shows
great potentials in various applications. However, the array position error,
exists in array radar generally, has a bad influence on RCI and impairs the
imaging performance extremely. In this paper, the mathematical model of RCI in
the presence of array position error is established and to obtain the analytic
result, the nonlinear relationship between the received signal and array
position error is approximated linearly by the first-order Taylor expansion.
Thus, the alternating iterative imaging algorithm is designed to compensate the
array position error based on basis pursuit. Simulation results are presented to
show the effectiveness of the proposed algorithm. |
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Oral Session: |
SPG04-04 (Paper ID: 2255) |
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Title: |
A Kind of Millimeter Wave Broadband System for Recognizing and Tracking the Sea
fleet Targets Quickly |
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Authors: |
Cui Kai-bo1, Chen Xi1, Wu Wei-wei1, Li Jiao2 and Yuan Nai-chang1 |
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Affiliation: |
(1Department of Electronic Science and Engineering National University of
Defense Technology Changsha, Hunan, P. R.
China |
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Abstract: |
As the traditional radar system can’t
quickly and effectively identify group targets, this paper uses a
millimeter-wave radar system to identify, sort and track the sea fleet targets.
The radar scans the sea surface firstly to get the DBS image, then the image is
processed by the CFAR processor to detect the fleet targets, and finally
according to various parameters provided by the INS (inertial navigation
system), the positional relationship between the radar and a specific target can
be worked out. Then the radar will set the servo system so that the antenna can
beam the targets area and then the radar can go to monopulse tracking quickly.
The results show that: the system and algorithm proposed by this paper can
identify and sort the group targets and track the specific target quickly and
steadily. It is suitable for the airborne or missile fields. |
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Oral Session: |
SPG04-05 (Paper ID: 2263) |
|
Title: |
Research of Multi-satellite Tracking Algorithm Based on Data Fusion |
|
Authors: |
Chen Hongying, Guo Caifa, Wang Xuliang, Li Huifen |
|
Affiliation: |
(China Satellite Maritime Tracking and Controlling Department, Jiangyin, China) |
|
Abstract: |
Considering the problem caused by the angle-measuring in the tracking process
with the space tracking ship, a data fusion algorithm is proposed for the orbit
determination with the rocket-borne GPS data and the tracking data obtained by
the ship. The algorithm is evaluated by using the measured data obtained in a
mission of one vehicle with 3 satellites. The simulation tests show its
validity. With the introduction of the GPS data, the algorithm can improve the
precision of the initial orbit and the inter-satellite range determination. |
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Oral Session: |
SPG04-06 (Paper ID: 2274) |
|
Title: |
SAR Moving-Target Detection Using Difference between Two Looks |
|
Authors: |
Junfeng Wang |
|
Affiliation: |
(Dept. of Electronic Engineering, Shanghai Jiao Tong University, Shanghai,
China) |
|
Abstract: |
A novel scheme is presented to detect moving targets in SAR images. In the two
looks, the images of a stationary target are similar, but those of a moving
target are different. So, moving targets can be detected using the difference
between the two looks. First, the complex image is compensated to remove the
shifting and the blurring of the stationary ground due to the velocity error of
the radar. This will reduce the loss of the similarity between the two looks of
the stationary ground. Then, the Doppler spectrum is halved, each half is used
to obtain a look, and the two looks are despeckled to reduce the loss of their
similarity. Finally, the normalized difference between the two looks is
calculated, smoothed, absolutized, and thresholded. This scheme is effective for
targets moving in range, azimuth, or both. In addition, it is easy to implement
and efficient in computation. |
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Oral Session: |
SPG04-07 (Paper ID: 2310) |
|
Title: |
Research of Sidelobe Suppression of RDA and CSA Imaging Algorithms |
|
Authors: |
Jing WANG1,2, Yongyuan WEN1, Weidong WANG1, Zhiqiang GUO1 |
|
Affiliation: |
(1School of Information Science and Engineering Yunnan University,Kunming, China
2Dept. of Mathematic Sciences |
|
Abstract: |
This paper presents three algorithms to suppress sidelobe of images produced by
both RDA and CSA imaging algorithms. The first is windowed RDA (W-RDA) and
windowed CSA(W-CSA) which decreases the sidelobe and increases the
signal-to-noise ratio. The second is spatially variant apodization RDA and CSA
(SVA-RDA and SVA-CSA) which weighs the amplitude of each point in frequency
domain and then suppresses sidelobe effectively, and keeps good main lobe
resolution at the same time. The third is a combination of the previous two as
WSVA-RDA and WSVA-CSA which overcomes the deficiency of the previous two and has
a better result. The paper puts forward two parameters named Peak-Sidelobe Ratio
(PSR) and Peak-Image Ratio (PIR) to evaluate the sidelobe suppression effect.
Simulation results prove the performance of the three methods of this paper. |
|
SPG05: Radar and Sonar Systems II, Mon
1050-1250, A1 |
|
Oral Session: |
SPG05-01 (Paper ID: 2282) |
|
Title: |
OFDM-MIMO Radar Time-Domain Synthetic Bandwidth Method |
|
Authors: |
Wen-kun Gu, Dang-wei Wang, Xiao-yan Ma, Shang Peng, A-lei Chen, Wei-jian Liu |
|
Affiliation: |
(Air Force Early Warning Academy, Wuhan, China) |
|
Abstract: |
MIMO (multiple-input and multiple-output)
radar with OFDM (orthogonal frequency-division multiplexing) waveform, i.e.,
OFDM-MIMO radar, transmits diverse carrier frequency narrowband signals, which
can be synthetized to a wideband one to improve the resolution via a method in
this paper. We firstly establish the echo model of OFDM-MIMO radar, and then
derive the expression of phase compensating factor in time-domain. Simulations
demonstrate the feasibility. |
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|
Oral Session: |
SPG05-02 (Paper ID: 2324) |
|
Title: |
Angular Resolution Limits for Coincidence Imaging Radar Based On Correlation
Theory |
|
Authors: |
Guofeng Zha, Hongqiang Wang, Zhaocheng Yang, Yongqiang Cheng, Yuliang Qin |
|
Affiliation: |
(School of Electronic Science and Engineering,
National University of Defense Technology, Changsha, P. R. China) |
|
Abstract: |
Coincidence imaging radar (CIR) can
achieve super-resolution in real aperture staring radar imagery by employing
temporal-spatial independent array detecting (TSIAD) signals. The
characteristics of TSIAD signals are determined by the random signal waveform
and the array geometry, and the imaging performance is influenced by the
relative imaging position with respect to the antenna array. In this paper, the
uniform spacing linear array (USLA) with the frequency random modulation (FRM)
signal waveform is studied. The angular resolution limit (ARL) for the CIR
system is derived based on correlation theory. The effects of the parameters on
the resolution performance are investigated.
Comparison of ARL between the proposed CIR system and the real aperture
radar (RAR) system is presented to validate the efficiency of the CIR system. |
|
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|
Oral Session: |
SPG05-03 (Paper ID: 2325) |
|
Title: |
An Ultrafast Digital Signal Processor for Millimeter Wave Real-time Imaging
Radar |
|
Authors: |
Qingzhan Shi1, Deping Zhang1, Shiliang Cheng2 Hui Luo1, Naichang Yuan1 |
|
Affiliation: |
(1College of Electronic Science and Engineering National University of Defense
Technology, Changsha, China 2Center of Simulation and Training |
|
Abstract: |
The millimeter wave real-time imaging
radar has the capabilities of high range resolution and Doppler resolution,
which puts forward a new challenge for digital signal processor. Based on the
analysis of technical characteristic of real-time imaging radar, a new kind of
digital signal processor structure is presented. The processor adopts multi DSPs
and multi FPGAs structure. And the design methods of ultrafast interconnection
among different chips are presented in detail. This architecture is based on
high-speed interconnect platform, having several kinds of interconnection
methods which are Serial RapidIO net, PCIE net, HyperLink net and
synchronization timing bus. So it meets the demand of the great data throughput
for real-time imaging. The software structure is introduced based on AXI-Stream
protocol. The digital signal processor has a good characteristic of
modularization, scalability and universality. |
|
|
|
|
Oral Session: |
SPG05-04 (Paper ID: 2632) |
|
Title: |
A Novel Unambiguous Acquisition Algorithm for BOC(m,n) Signals |
|
Authors: |
Cui Wei, Zhao Dawei, Liu Jian, Wu Shuang, Ding Jiansong |
|
Affiliation: |
(School of Information and Electronics Engineering Beijing Institute of
Technology, Beijing, China) |
|
Abstract: |
To tackle the problem of ambiguous acquisition of Binary Offset Carrier (BOC)
signal induced by more than one auto-correlation peaks, this paper proposes a
novel unambiguous acquisition algorithm based on quadratic BOC (QBOC). In the
proposed algorithm, two local QBOC auxiliary signals with different phase are
first correlated with received signal, respectively. Then, by combing two
cross-correlations, a correlated function with single peak is obtained, followed
by the signal acquisition. The proposed algorithm is able to eliminate the
ambiguity of the correlation function completely for arbitrary order of the BOC
modulated signals and improve the value of main peak. Furthermore, compared with
other methods, the proposed algorithm has better acquisition performance.
Theoretical and simulation results verify the effectiveness of the proposed
algorithm. |
|
|
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|
Oral Session: |
SPG05-05 (Paper ID: 2485) |
|
Title: |
A Study of ECCM Techniques and their Performance |
|
Authors: |
Ahmed Abdalla, Zhao Yuan, Sowah Nii Longdon, Joyce Chelangate Bore, Tang Bin |
|
Affiliation: |
(School of Electronic Engineering
University of Electronic Science and Technology of China, Chengdu, P.R. China) |
|
Abstract: |
In this paper, Electronic counter countermeasure (ECCM) techniques that are
utilized against active deception jamming Electronic countermeasure (ECM) are
studied. Firstly, these schemes are classified into two groups according to the
ECM threat: techniques which are used to counter the range false targets and
techniques to counter the range-velocity Gate Stealers deception jamming.
Secondly, the pros and cons of these schemes are highlighted and compared under
different viewpoints. Thirdly, we analyze the performance of these schemes, and
we propose new directions based on the insightful analysis of the existing work.
This paper can greatly enhance understanding of the basic concepts of ECCM
electronic welfare (EW) to counter active deception jamming. |
|
SPG06: Sensor Array and Multi-Channel SP I, Mon 1400-1600, A1 |
|
Oral Session: |
SPG06-01 (Paper ID: 2207) |
|
Title: |
2-D Off-grid DOA Estimation Using Sparse Bayesian Learning with L-shape Array |
|
Authors: |
Yujian Pan, Hong Zhu, Ning Tai, Xiaofa Zhang, Naichang Yuan |
|
Affiliation: |
(College of Electronic Science and Engineering National University of Defense
Technology, Changsha, China) |
|
Abstract: |
To further improve the performance of the two-dimensional (2-D)
direction-of-arrival (DOA) estimation, we propose a novel method employing the
sparse Bayesian learning (SBL). In this new method the 2-D DOA estimation is
divided into two independent 1-D DOA estimations which can be resolved by the
SBL respectively. To avoid the negative effects on the accuracy of DOA
estimation and signal reconstruction caused by grid mismatch in sparse
reconstruction, the off-grid model is adopted. By exploiting the self-coherent
property of signals, pair matching of elevations and azimuths is accomplished by
pair matching of the two sets of reconstructed signals. Numerical simulation
results demonstrate the superior performance of the proposed method. |
|
|
|
|
Oral Session: |
SPG06-02 (Paper ID: 2227) |
|
Title: |
Low Complexity DOA Estimation Approach Through Multitask Bayesian Compressive
Sensing Strategies |
|
Authors: |
Luo Xi, Shen Fangfang, Zhao Guanghui, Shi Guangming |
|
Affiliation: |
(Xidian University, Xi’an, China) |
|
Abstract: |
Based on the Multitask Bayesian
Compressive Sensing (MT-BCS) framework, a novel DOA estimation approach for
planar array is proposed in this paper. Different from the traditional CS-based
DOA model, where the spatial observation is characterized in one large scale
matrix, to reduce the complexity, a separable observation structure is proposed,
which separates the joint spatial observation into two individual parts, and
thus, the large scale matrix can be split into two small scale matrices. In
addition, the Multitask Bayesian Compressive Sensing framework is engaged to
build a MT-BCS-based DOA estimation scheme (MT-BCS-DOA). The simulation results
show the superior capability of the proposed approach. |
|
|
|
|
Oral Session: |
SPG06-03 (Paper ID: 2241) |
|
Title: |
Bootstrap-based Parametric Adaptive Matched Filter Detector: CFAR Performance
analysis |
|
Authors: |
Jing Wang, Yong Jin |
|
Affiliation: |
(School of Computer and Information Engineering, HeNan University) |
|
Abstract: |
For parametric detection test, the probability of false alarm (PFA) always
exceeds the preset level when the noise distribution is unknown, especially when
the training data is limited. The PFA expression for parametric adaptive matched
filter (PAMF) detector operating in both Gaussian and non-Gaussian clutter
scenarios are lacked since the analysis becomes mathematically intractable. The
bootstrap is a powerful technique for assessing the accuracy of a parameter
estimator in situations where conventional techniques are not valid. The
bootstrapped PAMF is carried out to compute the threshold when training data is
limited. The result is outstanding when there is few training data. |
|
|
|
|
Oral Session: |
SPG06-04 (Paper ID: 2270) |
|
Title: |
A Precorrelation DiLL Scheme Based on Antenna Array for GNSS Receivers |
|
Authors: |
Shumin Huo1, SihuiLiu2, Feiqiang Chen1, Junwei Nie1 , Feixue Wang1 |
|
Affiliation: |
(1The College of Electronic Science and Engineering National University of
Defense Technology, Changsha, China 2Beijing Institute of Tracking and
Telecommunication |
|
Abstract: |
In this paper, we propose a precorrelation direction lock loop (DiLL) scheme and
a new modification factor estimation method for the global navigation satellite
system (GNSS) receivers. The proposed scheme executes spatial correlation before
code demodulator and does not need to do code demodulation for every antenna
element. It can decrease the number of code demodulator to 3 regardless of the
array element number while the postcorrelation DiLL scheme requires as many as
array elements. Moreover, performance can be improved for immunity of undesired
signals, multipath and interference, for example, from other different direction
of arrivals compared with the postcorrelation DiLL scheme. The new modification
factor estimation method is based on the prompt code branch and estimated angle
outputs, which are suitable for reality environments. Theory analysis and
simulation results show that two schemes are equivalent when the code tracking
loop is working on the ideal tracking state under interference-free environment.
The proposed scheme can also be used for DS/CDMA systems. |
|
|
|
|
Oral Session: |
SPG06-05 (Paper ID: 2371) |
|
Title: |
Joint Estimation of DOA and Mutual Coupling via Block Sparse Bayesian Learning |
|
Authors: |
Yujian Pan1 , Ning Tai1 , Shiliang Cheng2
, Naichang Yuan1 |
|
Affiliation: |
(1College of Electronic Science and Engineering National University of Defense
Technology, Changsha, China 2Center of Simulation and Training |
|
Abstract: |
The direction-of-arrival (DOA) estimation accuracy is sensitive to the unknown
mutual coupling in antenna array. This paper proposes an online array
calibration method which jointly estimates the DOAs and the mutual coupling.
Taking advantage of the Toeplitz property of mutual coupling matrix (MCM) with
the uniform linear array (ULA), we handle the joint estimation problem by
exploiting the block sparse Bayesian learning (BSBL) framework. This method does
not need the calibrating sources or the preliminary MCM. Due to the robustness
of the BSBL, this method is also effective under coherent scenario. The
performance of the proposed method is compared with other well-known calibration
algorithms and the Cramer-Rao lower bound (CRLB). The results show that it
achieves higher accuracy and resolution. |
|
|
|
|
Oral Session: |
SPG06-06 (Paper ID: 2416) |
|
Title: |
Joint Space and Time Domain Processing For DOA Estimation |
|
Authors: |
Kai Wang, Ling Wang, Chuang Han |
|
Affiliation: |
(School of Electronic and Information Northwestern Polytechnical University,
Xi’an, China) |
|
Abstract: |
The small degrees of freedom (DOFs) and low SNR of incoming signal lead to
direction of arrival (DOA) estimation performance degradation. A spacetime
signal processing method for DOA estimation is presented. This method takes
advantage of the spatial and temporal statistics of the incoming signal,
expanding the dimensions of covariance matrix by increasing the time delay taps
which can reduces the spatial correlation between the steering vectors of
incoming signals, to improve the robustness of steering beam. The simulation and
experiment results by using measured data show the excellent and stable
performance of the proposed processing in the case of small degree of freedom,
low SNR of incoming signal and small number of snapshots, compared with the
conventional method using only spatial statistics. |
|
|
|
|
Oral Session: |
SPG06-07 (Paper ID: 2624) |
|
Title: |
An Efficient MUSIC Algorithm Using Subspace Projection |
|
Authors: |
Yadong Ma, Jingjing Cai, Dan Bao, Xiaoping Feng |
|
Affiliation: |
(Key Laboratory of Electronic Information Countermeasure and Simulation
Technology Ministry of Education, Xidian University, Xian, China) |
|
Abstract: |
In order to improve the speed of the DOA estimation, an efficient MUSIC
algorithm using subspace projection is proposed in this paper. In the algorithm,
the covariance matrix, which causes high computational complexity in the
subspace projection (SP) algorithm of subspace tracking field, is approximated
to simplify the processing procedure. The proposed algorithm shows similar angle
accuracy compared with the SP-MUSIC algorithm. However, it is much more
computational efficient and needs less storages than the SP-MUSIC algorithm,
since the proposed algorithm doesn’t require covariance matrix estimation and
eigenvalue decomposition. Finally, simulation results are used to validat the
effectiveness of the proposed algorithm. |
|
SPG07: Sensor Array and Multi-Channel SP II, Mon 1620-1820, A1 |
|
Oral Session: |
SPG07-01 (Paper ID: 2422) |
|
Title: |
Selection of the Regularization Parameter in the P-LASSO for the Noisy
Covariance Model |
|
Authors: |
Rui Hu, Youjun Xiang, Yuli Fu and Rong Rong |
|
Affiliation: |
(School of Electronic and Information Engineering, South China University of
Technology, Guangzhou 510640, China) |
|
Abstract: |
In this paper, the Positive constrained Least Absolute Shrinkage and Selection
Operator (P-LASSO) is studied for sparse support recovery using the correlation
information in Compressive sensing (CS). A structural constraint is obtained for
selecting the regularization parameter in the case of additive Gaussian noise.
Since the measurements are finite in practice, the probability of successful
recovering the sparse support is discussed. A lower bound of the probability is
derived. Experimental results are provided to illustrate the validity of our
main results. |
|
|
|
|
Oral Session: |
SPG07-02 (Paper ID: 2478) |
|
Title: |
A Comparative Study of different Frequency Sequences for Very Long Baseline
Interferometry Bandwidth Synthesis |
|
Authors: |
Dezhen Xu, Guangliang Dong, Haitao Li |
|
Affiliation: |
(Beijing Institute of Tracking and Telecommunications Technology Beijing, China) |
|
Abstract: |
This paper presents a comparative study of different frequency sequences which
are used for Very Long Baseline Interferometry (VLBI) Bandwidth Synthesis (BWS)
in recent astrometric and geodetic VLBI campaigns. The Peak Sidelobe (PS) level
of Delay Resolution Function (DRF), Normalized Effective Bandwidth (NEB) and
Frequency Ratio (FR) are defined as the metrics for comparison. Considering the
case of loss of a channel in the sequences, its effects on the performance of
the sequences are also evaluated. |
|
|
|
|
Oral Session: |
SPG07-03 (Paper ID: 2642) |
|
Title: |
Multiple Signal Detection Based On Spatial-Frequency Adaptive Processing Using
Fast Subspace Decomposition Method |
|
Authors: |
Zhaoliang Duan, Yuling Li, Shaobo Xu |
|
Affiliation: |
(The 54th Research Institute of China Electronics Technology Group Corporation
Shijiazhuang, China) |
|
Abstract: |
As the positioning accuracy of GNSS systems will degrade in the presence of
electromagnetic interference, jamming detection becomes pivotal part in
high-precision wireless communication systems which are conventionally
accomplished by energy statistics or time-frequency transformation. In this
paper, we present the spatial-frequency adaptive processing (SFAP) method which
will achieve highly detecting resolution through the distribution of eigenvalues
in frequency domain, and compared to the conventional methods the SFAP can
accurately detect the bandwidth of multiple signals. The application of fast
subspace decomposition (FSD) using Lanczos algorithm iteratively implements the
eigenvalue-decomposition with lower complexity while the source enumeration is
estimated simultaneously. Moreover, the proposed method still works well even in
the presence of weaker clutter or stochastic errors. Computer simulation results
confirm the robustness of the detecting method. |
|
|
|
|
Oral Session: |
SPG07-04 (Paper ID: 2181) |
|
Title: |
Automatic Control of PTZ Camera Based on Object Detection and Scene Partition |
|
Authors: |
Shuai Wang, Yan Tian, and Yiping Xu |
|
Affiliation: |
(National Key Laboratory of Science and Technology on Multi-spectral Information
Processing School of Electronic Information and Communications Huazhong
University of Science and Technology, Wuhan 430074, China) |
|
Abstract: |
PTZ camera has been widely applied to various video surveillance systems.
Focusing on controlling the PTZ camera automatically, a rapid controlling method
based on object detection and scene partition is presented in this paper.
Firstly, we used the Gaussian mixed model for the detection and localization of
object. Combining with the position information of the object which has already
obtained, an automatic control method of the PTZ camera is performed through the
effective scene partition and the preset function provided by camera. We carry
out the experiments in the actual scene of pedestrians. Experimental results
show that this method is feasible, automatic and simple. |
|
|
|
|
Oral Session: |
SPG07-05 (Paper ID: 2250) |
|
Title: |
Dangerous Human Event Understanding using Human-Object Interaction Model |
|
Authors: |
Haozhuo Xu, Yuan Tian, Xinjue Hu, Fangling Pu |
|
Affiliation: |
(School of Electronic Information Wuhan University, Wuhan, China) |
|
Abstract: |
Detection of complex human events in videos and images is a challenging problem
of computer vision. The difficulty lies in constructing effective connection
between human activities and specific events. In this paper we focus on
dangerous human events, especially when people with handheld weapons are
presented in images. By introducing Human-Object Interaction model, we are able
to establish methods and systems to recognize events that are dangerous. In our
approach, the process of event understanding is based on identifying dangerous
objects in possible areas predicted by human body parts. The accuracy of
dangerous human events understanding is improved when human body parts
estimation is combined with objects detection. Utilizing a developed dangerous
human events data set, we show our model and system outperform conventional
event classification approaches in efficiency. |
|
|
|
|
Oral Session: |
SPG07-06 (Paper ID: 2288) |
|
Title: |
An Anti-Chaff Jamming Method for Millimeter Wave Wideband Coherent Radar Based
on Range Doppler Feature |
|
Authors: |
Zhu Hong, Pan Yu-jian, Wang Qing-ping, Tai Ning, Yuan Naichang |
|
Affiliation: |
(College of Electronic Science and Engineering National University of Defense
Technology, Changsha, China) |
|
Abstract: |
The millimeter wave broadband coherent radar has the capabilities of high range
resolution and Doppler resolution, which provides a new approach for anti-chaff
jamming. Based on the echo model of broadband coherent radar, the range Doppler
two-dimensional profile of the target is derived. Then the differences of the
range Doppler two-dimensional profile between the echoes of the ship and the
chaff jamming are analyzed. A range Doppler two-dimensional extended target
detector based on Otsu is applied to detect the target region. Three
characteristic parameters based on the range Doppler two-dimensional profile are
proposed to discriminate the ship and the chaff jamming. An identification
method based on those characteristic parameters is presented to discriminate the
chaff jamming and the ship. Experiments with measured data validate the
effectiveness of the identification method via range Doppler two-dimensional
profile. |
|
SPG08: Detection, Estimation and Classification I, Mon 1050-1250, A3 |
|
Oral Session: |
SPG08-01 (Paper ID: 2296) |
|
Title: |
Hyperspectral Target Detection via Locality-constrained Group Sparse
Representation |
|
Authors: |
Xiaodan Zhang |
|
Affiliation: |
(State Key Laboratory of Integrated Service Networks, School of
Telecommunications Engineering, Xidian University, Xi’an 710071, Shaanxi, P. R.
China) |
|
Abstract: |
Target detection is an important task in hyperspectral image processing.
Traditional methods usually impose a stringent assumption on the spectrum
distribution of the background and targets, which cannot hold for all the
practical situations. This problem can be avoided by sparsity-based method in
which each test pixel is represented by a linear combination of a few samples
from an overcomplete dictionary. However, classical sparsity model ignores the
dictionary structure and cannot guarantee an accurate sparse representation for
the test pixel. Motivated by this point, this paper proposes a locality
constrained group sparse representation for target detection. It makes full use
of the dictionary structure and preserves the manifold of the original data at
the same time, not only ensuring that the correlated training samples belonging
to the correct class are used to express the test pixel but also guaranteeing
that similar spectrums of HSI pixels will have similar codes. Experimental
results on real hyperspectral imagery suggest that the proposed method is more
effective than conventional sparsity based algorithm and the statistics-based
methods. |
|
|
|
|
Oral Session: |
SPG08-02 (Paper ID: 2299) |
|
Title: |
ARPSO-MLE Based GNSS Anti-Spoofing Method |
|
Authors: |
Fei Wang, Hong Li, Mingquan Lu |
|
Affiliation: |
(Department of Electronic Engineering Tsinghua University, Beijing 100084,
China) |
|
Abstract: |
Maximum likelihood estimation (MLE) has
been used in direct position estimation in the global navigation satellite
system (GNSS) receivers. It can be used for anti-spoofing because it utilizes
the consistency between different satellites.
In the method, how to find the optimal MLE solution is a challenge,
because the likelihood function of the MLE is multimodal. In the paper, particle
swarm optimization (PSO) is used in the multimodal optimization problem.
Further, attractive and repulsive PSO (ARPSO) is used to overcome the premature
convergence in the basic PSO. The performance of the ARPSO is compared to that
of a basic PSO and the SAGE method. The average position accuracy of different
methods under scenes with 1 to 3 spoofing signals is given based on computer
simulations. Results show that with initial position and time uncertainty
introduced by the spoofing attack, the proposed ARPSO-MLE method for direct
position estimation can provide navigation solution with accuracy better than 10
meters in the range of medium to high signal-to-noise ratio (SNR) under spoofing
attacks. |
|
|
|
|
Oral Session: |
SPG08-03 (Paper ID: 2306) |
|
Title: |
A Method of Imbalanced Traffic Classification Based on Ensemble Learning |
|
Authors: |
Yaojun Ding |
|
Affiliation: |
(Department of Information Engineering Gansu Institute of Political Science and
Law, Lanzhou, China) |
|
Abstract: |
In real environment, the protocol distribution of Network traffic is imbalance,
and the generalization ability of supervised learning algorithm such as
algorithm to C4.5 is poor. In order to improve the classification accuracy and
stability of network traffic, a network traffic classification method based on
Rotation Forest was proposed. In the method, PCA was used for feature reduction
and C4.5 algorithm was used to train base classifier. The experimental results
show that traffic classification method based on Rotation Forest has higher
accuracy and stronger generalization ability compared with C4.5 and Bagging
algorithm, and more suitable for imbalanced network traffic classification. |
|
|
|
|
Oral Session: |
SPG08-04 (Paper ID: 2317) |
|
Title: |
An Effective Method for Joint Estimation of Chirp Rates, Initial Frequencies and
DOAs of Multiple LFM Signals with Sub-Nyquist Spatial-Temporal Sampling |
|
Authors: |
Ye Chencheng, Liang Hong, Liu Huafeng |
|
Affiliation: |
(School of Marine Science and Technology Northwestern Polytechnical University,
Xi'an, P. R. China) |
|
Abstract: |
GRCRT (Generalized Robust Chinese Remainder Theorem) allows to reconstruct
multiple numbers when all the moduli have a common factor and all residue sets
have errors. In this paper, we propose a new approach based on GRCRT to joint
estimation of chirp rates, initial frequencies and DOAs (direction of arrivals)
for multiple LFM(1inear frequency modulation) signals with sub-Nyquist
spatial-temporal sampling. We first obtain the condition for ignoring the
cross-terms for the convenience of estimating parameters of LFM signals. On the
premise of ignoring the cross-terms, we then use GRCRT to estimate chirp rates,
initial frequencies when multiple LFM signals are undersampled for multiple
times in time domain and DOAs when multiple LFM signals are received at array
where the distance between adjacent array elements is larger than half of the
signal wavelength. Finally, the simulation results show that the newly approach
based on GRCRT for multiple numbers can estimate chirp rates, initial
frequencies and DOAs of multiple LFM signals accurately and robustly. |
|
|
|
|
Oral Session: |
SPG08-05 (Paper ID: 2373) |
|
Title: |
Fault Feature Extraction for Multiple Electrical Faults of Aviation
Electro-mechanical Actuator based on Symbolic Dynamics Entropy |
|
Authors: |
Jian Wang, Ting Li, Rong Xie, Xin-min Wang, Yu-yan Cao |
|
Affiliation: |
(College of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi,
China) |
|
Abstract: |
In this paper, a simple fault feature extraction method based on symbolic
dynamics entropy is proposed for multiple electrical faults diagnosis in an
electro-mechanical actuator. The symbolic dynamics feature is calculated from a
time series, which is extracted from the dc-link current of the actuator.
Comparing with other fault feature extraction scheme, this method has some
advantages such as simpler computation, less data requirement and it can realize
multiple faults detection. The proposed
method is verified through simulation experiment in the first stage of our
study. Fault injection methods on four typical electrical faults of the actuator
are studied firstly. Then, by doing experiment under specific position command
and load condition, the effectiveness of the fault feature to detect multiple
electrical faults is verified. |
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|
Oral Session: |
SPG08-06 (Paper ID: 2393) |
|
Title: |
A Water Quality Assessment Method Based on Sparse Autoencoder |
|
Authors: |
Ye Yuan, Kebin Jia |
|
Affiliation: |
(College of Electronic Information and Control Engineering Beijing University of
Technology, Beijing, China) |
|
Abstract: |
Water quality assessment is very
important for monitoring water sources and main canal, which is beneficial to
offer strategies for the management of water quality and environment. This paper
proposes a water quality assessment method based on a sparse autoencoder
network. In the proposed approach, a representation model is firstly learned via
a sparse autoencoder trained by unlabeled water monitoring data acquired from
DanJiangKou reservoir, then a softmax classifier is trained using a small set of
labeled classification data based on the China Surface Water Environmental
Quality Standard (GB3838-2002) expressed by the sparse autoencoder. The combined
model is finally used to evaluate the water quality. Experimental results show
that the proposed method in this paper is of high robustness and accuracy of
water quality assessment, and has a good prospect of practical applications. |
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Oral Session: |
SPG08-07 (Paper ID: 2289) |
|
Title: |
A Sea Corner-Reflector Jamming Identification Method Based on Time-Frequency
Feature |
|
Authors: |
Zhu Hong, Wang Qing-ping, Pan Yu-jian, Tai Ning and Yuan Nai-chang |
|
Affiliation: |
(College of Electronic Science and Engineering National University of Defense
Technology, Changsha, China) |
|
Abstract: |
Micro-motion characteristics of the sea corner-reflector jamming and the ship
are different. The corresponding time-frequency feature extracted from the
time-frequency representation (TFR) of the target echo can be used to
discriminate the corner-reflector jamming and the ship. Three parameters,
including the micro motion period, the time-frequency spectrum entropy and the
maximum of micro-Doppler half-period frequency difference, are applied to
describe time-frequency feature of the target. An identification method based on
those time-frequency feature parameters is presented to discriminate the
corner-reflector jamming and the ship. Experiments with measured data validate
the effectiveness of the identification method via time-frequency feature. |
|
SPG09: Detection, Estimation and Classification II, Mon 1400-1600, A3 |
|
Oral Session: |
SPG09-01 (Paper ID: 2424) |
|
Title: |
Coal working face gas emission prediction based on optimization input factors
and RVM |
|
Authors: |
WANG Xiao-Lu1, LIU Jian1, LU Jian-Jun2 |
|
Affiliation: |
(1School of Communication and Information Engineering Xi’an University of
Science & Technology, Xi’ an, Shaanxi 710054 China 2Department of
telecommunications Engineering |
|
Abstract: |
To improve the coal working face gas emission forecasting, an approach to
determine the most suitable input factors of the coal working face gas emission
forecaster is suggested based on the variance ratio testing method. The
necessary eliminations or adding of input factors are determined by F test for
the forecasting variances before and after elimination or adding. After
investigating on all cases, the most suitable input factor combination can be
identified. The measured samples of gas emission and some related factors at a
coal working face are used as an example. The input factors of a RVM (Relevance
Vector Machine) based nonlinear forecaster are selected by the proposed
approach. It is shown that the forecasting results by the forecaster with the
most suitable input factors are remarkably improved indicating that the proposed
approach is feasible and effective, and the ability of nonlinear function
approximation and generalization for prediction model of gas emission are
further improved by the forecaster based RVM, and the mean prediction error are
reduced to 1.74%. |
|
|
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|
Oral Session: |
SPG09-02 (Paper ID: 2426) |
|
Title: |
Unknown Stochastic Signal Detection via Non-Gaussian Noise Modeling |
|
Authors: |
Junyu Yang, Yongqiang Cheng, Hongqiang Wang, Yubo Li, Xiaoqiang Hua |
|
Affiliation: |
(School of Electronic Science and Engineering National University of Defense
Technology, Changsha, China) |
|
Abstract: |
Detection of weak stochastic signal under non-Gaussian background is a difficult
problem, especially when the prior knowledge of the background as well as the
signal is lacking. Traditional detection methods hardly consider both
non-Gaussian background and lack of prior knowledge condition simultaneously.
This paper proposes an unknown stochastic signal detection algorithm using
information geometry tools. Firstly, we use Gaussian Mixture Model (GMM) to
model the signals under detected. Secondly, the Kullback-Leibler divergence
(KLD) between the GMMs of signal and noise is calculated to measure the
difference between the signal and noise. Thirdly, the signal is detected by
comparing the KLD with the threshold. Compared to the previous detection
approaches, the proposed algorithm is independent of the prior hypothesis, so
that it is adaptive for non-Gaussian detection background with deficiency of
prior knowledge condition. Simulation results are presented to show the
effectiveness and performance advantage of the proposed algorithm. |
|
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|
Oral Session: |
SPG09-03 (Paper ID: 2507) |
|
Title: |
A Particle Filter Tracking Algorithm of Multi-features Fusion Based on Energy
Cumulant |
|
Authors: |
Liangkai Shao, Huanxin Zou, Lin Lei |
|
Affiliation: |
(College of Electronic Science and Engineering National University of Defense
Technology, Changsha, P. R. China) |
|
Abstract: |
A particle filter tracking algorithm of multi-features fusion based on energy
cumulant is proposed in this paper. This algorithm mainly focuses on the dim
target tracking problem under complex background of infrared image sequence, and
analyzes the different features of infrared dim targets. Since the particle
filtering algorithm gives the advantage of multi-features fusion, this paper
combines the four features, such as gray scale value, local entropy feature,
local energy feature and high-frequency histogram feature, to calculate the
particle weights which greatly improves the tracking accuracy, and uses energy
cumulant algorithm to suppress the background and improve the signal to clutter
ratio (SCR). The experimental results on both synthetic and real-world data
demonstrate that, the proposed algorithm has substantial improvements in terms
of tracking accuracy and robustness over the traditional particle filtering
algorithms. |
|
|
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|
Oral Session: |
SPG09-04 (Paper ID: 2526) |
|
Title: |
Frequency Estimation Based on Complex Correlation with Time-interleaved ADC |
|
Authors: |
Ye Zhonghui, Jiang Zhidi, Wang Pengjun, Wang Kang |
|
Affiliation: |
(College of Information Science and Engineering Ningbo University, Ningbo,
China) |
|
Abstract: |
In this paper, a frequency estimation method based on complex correlation is
proposed with TIADC (time-interleaved ADC) theory. Firstly, received signal is
processed by amplification, filter, and quadrature demodulation. Then, TIADC is
adopted to data acquisition, and parallel operation of complex correlation is
used to deal with complex signal. Finally, signal frequency is acquired with
phase angle obtained by arctangent function. Also, the detailed implementation
and testification with FPGA are presented. The testification results show that
the method can not only reduce time of frequency calculation, but also improve
estimation precision with strong anti-interference performance. |
|
|
|
|
Oral Session: |
SPG09-05 (Paper ID: 2547) |
|
Title: |
A Novel Similar Background Components Connection Algorithm for Colorful Text
Detection in Natural Images |
|
Authors: |
Peijun Tang, Yule Yuan, Jin Fang, Yong Zhao |
|
Affiliation: |
(School of Electronic and Computer Engineering Shenzhen Graduate School of
Peking University, Shenzhen, China) |
|
Abstract: |
In this paper, a novel similar background components connection algorithm is
presented to detect colorful texts. Before, the components were extracted
accurately according to a color-based stroke width extraction rule proposed in
the paper. In the stage of filtering non-text components, a specially designed
metric is presented to adjust the parameter values of the filter, so that the
filter is more robust under various conditions. Experiments on the ICDAR 2003
test set demonstrate that the proposed algorithm outperforms the
state-of-the-art methods when detecting texts in same color. Furthermore, it
achieves significantly performance on detecting colorful texts in natural
images. |
|
SPG10: Detection, Estimation and Classification III, Mon 1620-1820, A3 |
|
Oral Session: |
SPG10-01 (Paper ID: 2577) |
|
Title: |
A Dynamic Bias Analysis of the Pseudolinear Kalman Filter for Bearings-Only
Estimation |
|
Authors: |
Guangyu Wu, Jianxun Li |
|
Affiliation: |
(School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University Key
Laboratory of System Control and Information Processing, |
|
Abstract: |
The Pseudolinear Kalman Filter (PLKF) is widely used in the bearings-only target
tracking problem, while the dynamic bias analysis is not yet carried out. This
paper puts forward a bias analysis of the PLKF for bearings-only estimation
based on the constant velocity (CV) model. The mechanism of the bias variation
is revealed. Empirical evidence is provided with corresponding argumentation to
verify the bias analysis and the generalization utilizing the constant velocity
model. Bias analysis of the batch pseudolinear estimator is shown not valid for
that of the PLKF in the simulation results. |
|
|
|
|
Oral Session: |
SPG10-02 (Paper ID: 2582) |
|
Title: |
An Automatic Identification Algorithm of Yangtze Finless Porpoise |
|
Authors: |
Hongjian Song1,2, Feng Xu1, Bangyou Zheng3 , Ying Xiang3 , Juan Yang1 , Xudong
An1 |
|
Affiliation: |
(1Ocean Acoustic Technology Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing,
China 2University of Chinese Academy of Sciences, Beijing, China |
|
Abstract: |
This paper describes the time-frequency features of the Yangtze finless porpoise
acoustic signals firstly. Then an automatic identification algorithm for the
Yangtze finless porpoise is presented based on Hilbert Huang Transform and BP
artificial neural network. The algorithm includes two steps: feature extraction
and signal identification. In the first step of the algorithm, the algorithm
extracts a 10-Dimension signal feature vector based on Hilbert Huang transform,
Hilbert marginal spectrum and Fourier transform. In the identification step, the
BP artificial neural network is trained by using the extracted vector as input.
Some experimental acoustic data files of finless porpoise are used to test the
validity of the automatic identification algorithm. 238 finless porpoise
acoustic signals are detected. The correct identification probability of the
algorithm proposed in this paper reaches 93%, according to the human observation
on the time-frequency spectrum. Because the Yangtze finless porpoise is one of
the most endangered mammals in the world, so the presented method has great
practical significance for surveying and protecting the Yangtze finless porpoise
in the wild. |
|
|
|
|
Oral Session: |
SPG10-03 (Paper ID: 2583) |
|
Title: |
Banner occlusion detection in security surveillance video |
|
Authors: |
Yan Jiao1,2, Li Chen1,2, Xin Xu1,2, Jing Tian1,2 |
|
Affiliation: |
(1School of Computer Science and Technology, Wuhan University of Science and
Technology 2Hubei Province Key Laboratory of Intelligent Information Processing
and Real-time Industrial System, Wuhan
University of Science and Technology, Wuhan, China) |
|
Abstract: |
In security surveillance video (SSV), foreign object occlusion is increasingly
common. Automatic detection of suspicious occlusion has become important. In
this paper, a banner occlusion detection approach is proposed. The proposed
approach first detects the banner in the image using both color feature and
shape feature. More specifically, the proposed approach exploits the HSV color
space to extract the suspected banner area, which is further refined using
mathematical morphology, corner detection and boundary points sampling based
line-fitting. Then, the proposed approach exploits area ratio and banner
location to determine banner occlusion when a banner exists. Finally, a Gradient
Boost Decision Tree is constructed to learn features and predict whether there
exists occlusion. Experiments are conducted using real surveillance video to
validate the effectiveness of the proposed algorithm. |
|
|
|
|
Oral Session: |
SPG10-04 (Paper ID: 2615) |
|
Title: |
Ultrasound Blood Flow Tracking and M-mode Imaging Using Kalman Filter |
|
Authors: |
Quan ZHENG, Tianjiong ZHANG, Jie LI, Zhengdi QIN |
|
Affiliation: |
(National-Regional Key Technology Engineering Laboratory of China for Medical
Ultrasound Guangdong Key Laboratory for
Biomedical Measurements and Ultrasound Imaging,
School of Medicine, |
|
Abstract: |
For ultrasound blood flow detection, a method using Kalman filter in full-depth
estimation, full-depth tracking and M-mode imaging is presented. The limitations
of the most used periodgram technique are discussed, while the Kalman filter can
handle non-Gaussian case and high order operation. Dynamic models of full-depth
estimation and tracking are described, as well as the spectrum estimation one.
Because the Doppler signal is complex, the complex (or plural) Kalman filter is
developed. The filter can be adaptively and efficiently realize the blood
Doppler automatic detection, more accurate and more flexible in depth tracking
and M-mode imaging. Experiment results indicate that blood flow tracking using
Kalman filter is effective, and the M-mode image also successfully displayed. |
|
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|
Oral Session: |
SPG10-05 (Paper ID: 2623) |
|
Title: |
AHP Method Research of Decision-making Information System in Integrated Test
Technology Based on Granular Computing |
|
Authors: |
Yawei Ge, Mingqing Xiao, Xueqi Wang, Lei Zhang, Weijia Wang, Xiqian Hou |
|
Affiliation: |
(Air Force Engineering University Aeronautics and Astronautics Engineering
College Xi’an, P. R. China) |
|
Abstract: |
Integrated test technology is the research emphasis of improving test and
support capability of complex weaponry equipment. In order to solve the Analysis
Hierarchical Process (AHP) method research of decision-making information system
in the integrated test technology, and then to simplify the decision-making
information system structure and improve the efficiency of decision-making, the
paper introduces the definition of Integrated Test Decision-making Information
System. In view of the obvious advantages of AHP method applied in the
integrated test decision-making information system, based on Quotient Space
Granular Computing theory, the decision-making system is analyzed hierarchically
and multi-granularity hierarchical acquisition method of dynamic decision-making
information system is given. Through the application of the method in the test
decision-making process of a certain type of integrated test equipment, the
feasibility and validity of the method to deal with AHP is verified, and the
decision-making efficiency of integrated test process is improved, then the
method can effectively solve the problems of AHP method of decision-making
information system in the integrated test technology. |
|
|
|
|
Oral Session: |
SPG10-06 (Paper ID: 2629) |
|
Title: |
Modified Method of Communication Emitter Recognition Based on D-S Theory |
|
Authors: |
Yuan Su-Xin, Lu Shu-Jun, Wang Shi-Lian, Zhang Wei |
|
Affiliation: |
(National University of Defense Technology,
School of Electronic Science and Engineering, Changsha, China) |
|
Abstract: |
Aiming at the defects of the common communication emitter recognition method,
that the targets can’t be recognized in the condition of low SNR, a modified
communication emitter recognition method based on evidence reasoning theory is
proposed. Characteristic selection and database reconstruction is applied to
solve the problem of indistinct input, and the D-S algorithm of weighted
averaging is applied to make inferences about signal characteristics in all
levels which can avoid inefficient of data fusion. The simulation results
confirm that the new method based on modified D-S theory can observably improve
the performance of recognizing communication emitter for low SNR. |
|
|
|
|
Oral Session: |
SPG10-07 (Paper ID: 2539) |
|
Title: |
Balanced Ensemble Learning with Adaptive Bounds |
|
Authors: |
Yong Liu, Qiangfu Zhao, and Yan Pei |
|
Affiliation: |
(School of Computer Science and Engineering The University of Aizu,
Aizu-Wakamatsu, Fukushima 965-8580, Japan) |
|
Abstract: |
Different to other re-sampling ensemble learning, negative correlation learning
trains all individual models in an ensemble simultaneously and cooperatively. In
negative correlation learning, each individual could see all training data, and
adapt its target function based on what the rest of individuals in the ensemble
have learned. In this paper, two error bounds are introduced in negative
correlation learning. One is the upper bound of error output (UBEO) which
divides the training data into two groups. The other is the lower bound of error
rate (LBER) which is set as a switch. Before the error rate of the learned
ensemble is higher than LBER, all training data is learned by negative
correlation learning. As soon as the learned ensemble has a lower error rate
than LBER, negative correlation learning will be applied to one group only
specified by UBEO in which data points are near to the current decision
boundary. This paper will examine the differences among the individual models in
the ensemble by negative correlation learning with two bounds to determine how
LBER and UBEO should be adapted in negative correlation learning. |
|
SPG11: Image and Pattern Recognition, Tue 1050-1250, A1 |
|
Oral Session: |
SPG11-01 (Paper ID: 2236) |
|
Title: |
Periodic Pattern Enhancement: A Stochastic Resonance Approach |
|
Authors: |
Zelong Wang, Meihua Xie, and Jubo Zhu |
|
Affiliation: |
(Department of Mathematics and System Science National University of Defense
Technology, Changsha 410073, China) |
|
Abstract: |
This paper investigates two basic problems about the periodic pattern in pattern
recognition and artificial intelligence: weak periodic pattern and the noise. We
make use of stochastic resonance (SR) theory to enhance periodic pattern by
transferring the noise energy to the pattern energy, which not only removes the
noise but also improves the periodic pattern intensity. We firstly analyze the
basic principle of the energy transfer by SR theoretically; and then, we design
the optimized SR nonlinear system to enhance the periodic pattern; finally, we
apply the proposed method to two popular periodic patterns, i.e., the texture
pattern of the optical remote sensing image and the spatial pattern of the
fingerprint image. The experiments have a good performance and the proposed
method can be extended to wider applications of periodic pattern enhancement. |
|
|
|
|
Oral Session: |
SPG11-02 (Paper ID: 2353) |
|
Title: |
Thematic Information Detection for Remote Sensing Image Using SVM Kernel
Functions |
|
Authors: |
Lan Liu, Chengfan Li, Jingyuan Yin, Xiankun Sun, Junjuan Zhao, Dan Xue |
|
Affiliation: |
(School of Computer Engineering and Science Shanghai University, Shanghai,
China) |
|
Abstract: |
Thematic information detection is an important application of remote sensing
image. Support vector machine (SVM) has been widely used in MODIS remote sensing
detection. However, the difficulty of SVM application is how to select the
suitable kernel function for remote sensing image. In this paper, the Sangeang
Api volcanic ash cloud on May 30, 2014 is taken as an example, and the linear,
polynomial, radial basis function (RBF) and sigmoid kernel functions are used to
detect volcanic ash cloud from MODIS remote sensing image. And then the detected
volcanic ash cloud information is evaluated in terms of simulation experiment
and contrastive precision accuracy. The results show that the RBF kernel
function is more effective and more robust for MODIS remote sensing image. |
|
|
|
|
Oral Session: |
SPG11-03 (Paper ID: 2549) |
|
Title: |
A Regularized Optimization Approach to Fast Image Dehazing |
|
Authors: |
Jiaxi He1, Cishen Zhang1, Ifat-Al Baqee1, Xin Gao2 |
|
Affiliation: |
(1Faulty of Science, Engineering and Technology Swinburne University of
Technology, Hawthorn, Victoria 3122, Australia 2Suzhou Institute of Biomedical
Engineering and Technology |
|
Abstract: |
This paper presents a novel and fast linear regularized optimization algorithm
for single image dehazing, which is based on two statistical observations. One
observation is that images under hazy conditions usually exhibit low contrast
and the other is that the spatial distribution of distances from scene objects
to the camera is piece wise smooth. In addition to the linear optimization,
digital matting and wavelet decomposition techniques are also applied to refine
the dehazing results and speed up the computation. Simulations and evaluations
of the proposed algorithm in comparison with state of the art algorithms are
carried out. The obtained results can demonstrate advantages of the proposed
algorithm in color fidelity and recovery of image details. |
|
|
|
|
Oral Session: |
SPG11-04 (Paper ID: 2655) |
|
Title: |
Hyperspectral Images Mapping With Group Sparse |
|
Authors: |
Feng Li1, Yi Guo2, Junbin Gao3, and Xiuping Jia4 |
|
Affiliation: |
(1Qian Xuesen Laboratory of Space Technology, Beijing, China 2Commonwealth
Scientific and Industrial Research Organization (CSIRO), NSW, Australia 3 School
of Computing and Mathematics, |
|
Abstract: |
In this paper, we propose a new framework for remote sensing images
classification based on group sparse representations. It is well known that it
is very difficult to find a suitable sparse representation for remote sensing
images because of complicated ground features. Here a remote sensing image is
deemed a combination of sub-images of smooth, edges and point like components.
Since each domain transformation method is only capable of representing a
particular kind of ground objects or textures, a group of domain transformations
are combined to sparsely represent the whole image. By applying the group sparse
representations as a prior in Maximum a Posterior (MAP) for ill-conditioned
problems, each channel of an input hyperspectral data cube can be separated into
sub-images of the same size as the input image by using the iterative
soft-thresholding algorithm (ISTA). For a particular channel, smooth areas will
most likely show in the sub-image with similar amplitude. These smooth areas in
a sub-image will work as implicit spatial constraint for that channel.
Therefore, those reconstructed sub-images can be added to the original
hyperspectral data cube as an augmented data cube with spatial constraint
embedded for solving classification problem. This new framework brings hopes for
all the classification methods without spatial constraints for the purpose of
improving classification accuracy. The improved classification results can be
achieved without any changes to those classification methods but using the
augmented data cube. |
|
|
|
|
Oral Session: |
SPG11-05 (Paper ID: 2613) |
|
Title: |
Block Compressive Sensing of Images Using lp Norm Minimization |
|
Authors: |
Fangli Ning1, Junru Niu2, Dan Gao2 and Juan Wei2 |
|
Affiliation: |
(1School of Mechanical Engineering, Northwestern Polytechnical University,
Xi’an, Shaanxi, 710072, P. R. China 2School of Communication Engineering, Xidian
University, |
|
Abstract: |
Wherein the framework of block compressive sensing sampling of images, an lp
norm minimization algorithm is proposed. The proposed algorithm is memory
efficient as we just need to store a block diagonal sensing matrix for sampling
the small blocks divided from an original image. The whole image is
reconstructed with an lp norm minimization. To improve the quality of the
reconstructed images and reduce the computation time, we combine the penalty
function method with revised Hesse sequence quadratic programming in the lp norm
minimization. The algorithm is employed to reconstruct images with different
block sizes. From analysis of the visual quality, the peak signal-to-noise and
computation time of reconstructed images with different block sizes in detail,
we select 16*16 as the optimal block size. Finally, reconstructed images
obtained with the proposed algorithm are compared with those obtained with
orthogonal matching pursuit algorithm (OMP) and iteratively reweighted least
square algorithm (IRLS), respectively. The comparisons show that the proposed
algorithm can obtain superior visual quality and peak signal-to-noise ratio
(PSNR) performance with less computation time. |
|
|
|
|
Oral Session: |
SPG11-06 (Paper ID: 2635) |
|
Title: |
Effective Digital Image Copy-Move Location Algorithm Robust to Geometric
Transformations |
|
Authors: |
Fuxing Zhao, Rong Zhang, Haolong Guo, Yanhua Zhang |
|
Affiliation: |
(Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China) |
|
Abstract: |
To make the tampered image more deceivable, rotation and scaling of the
duplicated image region, as simple and common image forgery techniques, are
often employed. In this paper, a novel approach of copy-move location is
presented for copy-move forgery which combines with the keypoint-based method
and the block-based method. For a tampered image, we use the split-half
recursion matching strategy to match SIFT keypoints. In this step, we obtain the
preliminary detection results which indicate the suspected copy-move regions
with matching relation. In order to obtain an accurate localization, the
proposed method introduces block-based method. First, the affine transformation
between two matched regions is estimated. Then, one of the two matched regions
is transformed. And then, the ZNCC coefficients are calculated to measure the
correlation between the transformed and the matched regions. Experimental
results indicate that the presented algorithm can not only localize the tampered
regions accurately, but also deal with operations such as rotation, scaling and
multiple copy operations. At the same time it also can resist post-processing
operations effectively like white Gaussian noise and JPEG compression. |
|
|
|
|
Oral Session: |
SPG11-07 (Paper ID: 2318) |
|
Title: |
Salient Object Detection Based on Objectness |
|
Authors: |
Baoyan Wang1, Tie Zhang1, Xingang Wang2 |
|
Affiliation: |
（College of Information Science
and Engineering Northeastern University, Shenyang, China, School of Control Engineering |
|
Abstract: |
We propose a novel salient object detection method based on objectness by
generating salient object bounding box proposals. Smooth images of
edge-preserving well and smooth background are obtained by using L0 Gradient
Minimization. After oversegmenting somooth images using SLIC algorithm,
candidate bounding boxes as well as center and neighbor areas in a bounding box
are then determined. Combing objectness scores, contrast, center and background
priors, ranking bounding boxes containing salient objects are obtained finally.
Although saliency map can’t directly be obtained by our algorithm unlike others
salient object detection methods, salient objects containing meaningful context
information can be labeled with ranking bounding boxes. Experiment results
demonstrate that the proposed algorithm can yield better detection and run
faster than salient object detection of SVO method. Based on internal connection
between saliency and objectness, algorithm proposed in this paper can be viewed
as a novel try on salient object detection. |
|
COM01: Microwave, Antennas and Propagation I, Sun 1400-1600, A2 |
|
Oral Session: |
COM01-01 (Paper ID: 2235) |
|
Title: |
Automatic Group Delay Measurement of Multi-channel and Long Length
Frequency-Translating RF Links |
|
Authors: |
Chen Peilin, Zheng Xiaodong, Wang Xiaoling |
|
Affiliation: |
(Satellite Navigation Department The 54th Research Institute of China Electronic
Science and Technology Group Corporation State Key Laboratory of Satellite
Navigation System and Equipment Technology |
|
Abstract: |
There were difficulties in testing group delay of frequency-translating devices. With the integration of SMC+PHASE
calibration method of VNA, we overcome the difficulties and provide a solution
for automatic delay measurement of long-length frequency-translating RF links.
Finally, the detailed system and flow designs are discussed and the measurement
result is analyzed. The overall accuracy of the typical link in this paper is
estimated to be 0.18 ns. |
|
|
|
|
Oral Session: |
COM01-02 (Paper ID: 2283) |
|
Title: |
Validation of Compact Antenna on Motherboard Based on an Improved Fast Multipole
Method |
|
Authors: |
Liu Jian |
|
Affiliation: |
(School of Communication and Information
Engineering Xi’an University of Science and Technology, Xi’an, China) |
|
Abstract: |
On validating the performance of small-sized, multi-functionalized and
complicated mobile antenna on motherboard efficiently, an improved scheme with
combination of the Method of Momentum (MOM) and the Fast Multipole (FMM) is
proposed in this paper. The essence of this newly forwarded scheme is apt to
categorize the engaged base functions into one near field group and one far
field group, the MOM is accordingly used to govern the count of the base
functions in the near field group where data are stored necessarily; on the
contrary, the FMM is used instead for counting the base functions in the far
field group where data are stored unnecessarily. The antenna under validation
(AUV) is an compact inverted-F antenna operated in the frequency range of the
UMTS band from 1920MHz to 2170MHz, the Bluetooth/WLAN 2.4GHz band from 2400MHz
to 2460MHz and the WLAN 5.8GHz band from 5725MHz to 5850MHz. The agreement
between the calculation and the measurement regarding parameters S11 and
radiation patterns validates the efficiency and the accuracy of the proposed
scheme as well as the performance of the AUV. |
|
|
|
|
Oral Session: |
COM01-03 (Paper ID: 2333) |
|
Title: |
Compact Wideband HMSIW Bandpass Filter with Defected Ground Structure |
|
Authors: |
Ziqiang Yang, Zicheng Wang, Jun Dong, Yu Liu, Tao Yang |
|
Affiliation: |
(School of Electronic Engineering University of Electronic Science and
Technology of China (UESTC) Chengdu, China) |
|
Abstract: |
A compact wideband bandpass filter based on the half mode substrate integrated
waveguide (HMSIW) is presented in this paper. Two double-slit complementary
split-ring resonators (DS-CSRRs) are etched on the bottom plane, which can
improve the out-of-band rejection. The microstrip line is used to feed the HMSIW
cavity and DS-CSRRs. A bandpass prototype with the center frequency of 7.6GHz is
designed and fabricated. The measured fractional bandwidth is 53%. Good
agreement is observed between simulation and measurement. |
|
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|
Oral Session: |
COM01-04 (Paper ID: 2460) |
|
Title: |
Design and Performance of Matching Networks for Wideband Shortwave Antenna |
|
Authors: |
Li Na1, Gao Hongmin1, |
|
Affiliation: |
(1School of Information and Electronics,
Beijing Institute of Technology, Beijing, China 2Department of Engineering,
Beijing Science Technology Management College Beijing, China) |
|
Abstract: |
To overcome the large amount of calculation of analytical method and the
Electromagnetic Interference (EMI) of PCB layout, a new method based on the
Advanced Design System (ADS) is introduced to the design of matching networks
for wideband shortwave antenna. Firstly ideal Pi- and T-type networks are
designed according to the Smith Chart. Secondly, co-simulations of schematics
and layouts are made based on ADS momentum. Finally, the optimization of layouts
is implemented to realize the optimal results. Compared with analytical method,
the results show that in the design of matching network including two or three
elements, the simulation with schematics and layouts has the advantages of
simple, efficient and low cost. And the voltage standing wave ratio (VSWR) of
the antenna after matching is lower than 2, and the S21 is better than -2.5dB.
So, the new method is valuable in both theory and practice. |
|
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|
Oral Session: |
COM01-05 (Paper ID: 2477) |
|
Title: |
The Application of MUSIC Algorithm in the Planar Array Antenna |
|
Authors: |
SUN Cui-zhen1,2 |
|
Affiliation: |
(1School of Electronic and Information, Northwestern Polytechnical University,
Xi'an China 2School of Communication and Information Engineering, Xi'an University of Science and
Technology, Xi'an China) |
|
Abstract: |
The MUSIC algorithm is researched in the planar antenna array. The conventional
direction of arrival (DOA) estimation method in the planar array antennas uses
the technology of beam scanning. It needs a lot of array element. To the finite
conformal array DOA estimation, the resolution ratio will be affected by the
Rayleigh limit. While, the MUSIC algorithm can fully utilize the orthogonality
of noise subspace and signal subspace, it can achieve the DOA estimation through
the spectrum peak search. Based on the planar array antenna, the Bartlett
beam-forming method、the CAPON
minimum variance method and the MUSIC algorithm are analyzed and simulated. The
simulation results show that the MUSIC algorithm has higher resolution relative
to the two traditional algorithms. |
|
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|
Oral Session: |
COM01-06 (Paper ID: 2486) |
|
Title: |
Flexible Dual-Frequency Substrate Integrated Waveguide Antenna Based on
Metamaterial |
|
Authors: |
Bai Jiajun, Ren Ke, Chen Qiang, Chen Liang, Zhang Guangfu, Fu Yunqi |
|
Affiliation: |
(School of Electronic Science and Engineering National University of Defense
Technology, Changsha, China) |
|
Abstract: |
In this paper, a dual-frequency substrate
integrated waveguide (SIW) fed antenna working in the Ka-band has been proposed.
The aperture etched with complementary electric-lc (cELC) metamaterial units,
which resonant frequency can be controlled flexibly. Compared to the operating
wavelength, the size of the antenna is considerably small. With features of
simple structure and flexible design, the proposed antenna has potential
applications in the millimeter-wave radar and communication system. The
performance of the antenna is characterized with the full-wave simulation. |
|
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|
Oral Session: |
COM01-07 (Paper ID: 2200) |
|
Title: |
Chip Design of a 12-bit 5MS/s Fully Differential SAR ADC with Resistor-
Capacitor Array DAC Technique for Wireless Application |
|
Authors: |
Wen, Jiun-Yu, Chang, Pei-Hung, Huang, Jhin-Fang, Lai, Wen-Cheng |
|
Affiliation: |
(1National Communications Commission, Taipei, Taiwan 2Department of Electronic Engineering,
National Taiwan University of Science and Technology) |
|
Abstract: |
A 1.8-V 12-bit 5MS/s successive approximation register (SAR) analog-to-digital
converter (ADC) implemented in TSMC 0.18-um CMOS process is presented. To reduce
DAC switching energy and chip area, a hybrid resistor-capacitor DAC is applied.
To save energy, asynchronous control logic to drive the ADC is used. A
pre-amplifier based comparator circuit is built to reduce the kickback noise
from the dynamic latch designs. With 1.8 V supply voltage and 5.0 MHz sampling
rate, measured results achieve -0.55/0.72 LSB (Least Significant Bit) of DNL
(differential nonlinearity) and -0.78/0.92 LSB of integral nonlinearity (INL)
respectively, and 10.76 bits of an effective number of bits (ENOB) at 1MHz input
frequency. The chip area is 0.83 mm2 including pads and the power consumption is
490W for optical and wireless communications. |
|
COM02: Microwave, Antennas and Propagation II, Sun 1620-1820, A2 |
|
Oral Session: |
COM02-01 (Paper ID: 2490) |
|
Title: |
Novel Wideband Quadrature Hybrid Coupler with Tunable Power Dividing Ratio |
|
Authors: |
Li Hongtao1, Zhang Hong-Lin1, Hu Bin-Jie1, Wei Xiao-dong1, Zeng Weisen2 |
|
Affiliation: |
(1School of Electronic and Information Engineering South China University of
Technology, Guangzhou, 510640，China
2Department of Physics and Optoelectronic Technology, |
|
Abstract: |
This paper presents a novel wideband quadrature hybrid with tunable power
dividing ratio. It consists of a broadband hybrid power divider and two varactor
diodes. By verifying the reverse voltage of the varactor diodes, the power
dividing ratios between the two output ports (i.e., port 3 and port 4) of the
hybrid can be easily controlled. Analytical design equations are derived using
the even-odd mode method. To verify the design concepts, a miniaturized tunable
power dividing ratio hybrid working at 1.85 GHz is designed and tested. When
verifying the reverse voltage of the varactor diodes from 0 to 16 volt, the
power dividing ratios between the two output ports of the hybrid can be tuned
from -1 to 7.3 dB within a wide bandwidth (1.7-2.0 GHz). Good isolation and
return loss performance have been maintained for different power-dividing
ratios. And the output phase difference is nearly 90 degree. Moreover, the
working bandwidth is larger than 200 MHz for different values of reverse
voltage. The measured results agree well with the simulated ones. The total size
of the quadrature hybrid power divider is much small (60.4×26.8×1 mm3). |
|
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|
Oral Session: |
COM02-02 (Paper ID: 2381) |
|
Title: |
Broadband Terahertz Integrated Waveguide Transition and Its Application in the
Amplifier Module |
|
Authors: |
Ziqiang Yang1, Jun Dong1, Dong Xing2, Lisen Zhang2 and Tao Yang1 |
|
Affiliation: |
(1School of Electronic Engineering University of Electronic Science and
Technology of China, Chengdu, China 2National Key Laboratory of Application
Specific Integrated Circuit |
|
Abstract: |
In this paper, a broadband terahertz (THz) monolithically integrated
waveguide-to-grounded coplanar waveguide (GCPW) transition, which can be
operated in the whole R band (220-325 GHz), is designed for the first time. The
WR3 standard waveguide and the radial E-plane probe transition are utilized in
our design. A back-to-back transition structure with input and output waveguides
is designed for the verification. The simulated results show that the insertion
loss is approximate 1.5 dB and the return losses are more than 13 dB from 220
GHz to 325 GHz. Then a single-stage amplifier monolithic microwave integrated
circuit (MMIC) with the integral waveguide-to-GCPW transition using 70-nm InP
high electron mobility transistor (HEMT) process is designed, which can
eliminate the need for wire bonds in the RF signal path. The amplifier can
provide more than 1 dB gain at 300 GHz, with the input and output return losses
of better than 13 and 20 dB, respectively. |
|
|
|
|
Oral Session: |
COM02-03 (Paper ID: 2559) |
|
Title: |
Design and Measurement of Cavity Enclosed Microstrip Edge-coupled Bandpass
Filter at Ku Band |
|
Authors: |
Khan Zafar Bedar1, ZhaoHuiling1, Mehdi Ghulam2, Madni Muhammad Yousaf2 |
|
Affiliation: |
(1Dept of Electronics and Information Northwestern Polytechnical University,
Xian, 710072, P.R.China 2Center of Excellence in Applied Sciences & Technology |
|
Abstract: |
In this paper, design of an edge coupled cavity-enclosed, axially rotated,
bandpass filter (BPF) at Ku band is presented. Effects of a properly designed
cavity are included in the simulations of the BPF performance for subsequent
manufacturing. The BPF is realized on a substrate with dielectric constant of
2.2. The filter is fabricated, enclosed in the manufactured cavity (with its
waveguide cutoff frequency close to operating frequency) and measurement results
are presented. |
|
|
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|
Oral Session: |
COM02-04 (Paper ID: 2621) |
|
Title: |
A New Approach To Parameter Extraction For Equivalent Circuit Model Of Terahertz
Antenna |
|
Authors: |
Li Yue, Wei Zhennan |
|
Affiliation: |
(School of Information Science and Technology, Southeast University) |
|
Abstract: |
This paper first reviews the current research situation and the history of the
development of the antennas for terahertz applications. A new approach to
parameter extraction for equivalent circuit model of terahertz feedhorn, which
is the key point of this paper, is later proposed. By using this method, the
model parameters can be extracted with high precision and more efficiently than
the current method of parameter sweep by EDA tools, especially over a wide
frequency band. The model based on this approach is in close agreement with the
electromagnetic simulation of the antenna presented in this paper in terahertz
band of 1.2-1.3 THz. |
|
|
|
|
Oral Session: |
COM02-05 (Paper ID: 2609) |
|
Title: |
A Sub-Aperture and Blocking Autofocus Backprojection Method for SAR |
|
Authors: |
Kebin Hu, Xiaoling Zhang, Shunjun Wei, Jun Shi |
|
Affiliation: |
(School of Electronic Engineering University of Electronic Science and
Technology of China, Chengdu, China) |
|
Abstract: |
The autofocus backprojection (BP) algorithm based on image sharpness metric has
obtained excellent performance for motion error compensation. However, there are
still two serious problems should be considered. Firstly, the spatial variance
of motion errors is ignored, which can result in azimuth defocus for targets far
away from the invisible reference target. Secondly, the use of redundant antenna
phase centers (APCs) for a target leads
to the excessively concentrated energy distribution along azimuth direction. In
this paper, we demonstrate the strategies of range blocking and sub-aperture
processing to solve the two problems, respectively. The simulation results
validate the effectiveness of our methods. |
|
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|
|
Oral Session: |
COM02-06 (Paper ID: 2616) |
|
Title: |
Miniaturized and Broadband Monopole Antenna Based on Split-Ring Resonator and
Non-Foster Circuit |
|
Authors: |
Lihua Cai, Bing Hu, Cuicui Ma, Chaoyi
Cheng, |
|
Affiliation: |
(Beijing Institute of Technology, Beijing, China) |
|
Abstract: |
In this paper, a split-ring resonator is loaded to a monopole antenna for the
purpose of miniaturization. As a result,
the monopole antenna is shortened from quarter wavelength to ninth wavelength.
Then, a Non-Foster circuit is loaded to the input port of the SRR-based monopole
antenna. Due to the negative capacitance characteristic, the Non-Foster circuit
can offset the imaginary part of the input impedance of the SRR-based monopole
antenna and the bandwidth is successfully expanded. |
|
COM03: Sensor Networks I, Tue 0830-1030, A2 |
|
Oral Session: |
COM03-01 (Paper ID: 2199) |
|
Title: |
Resource Management for Target Tracking in Distributed Radar Network System |
|
Authors: |
Chenguang Shi1, Fei Wang1, Jianjiang
Zhou1, |
|
Affiliation: |
(1Key Laboratory of Radar Imaging and Microwave, Photonics, Ministry of
Education Nanjing University of Aeronautics and Astronautics, Nanjing, China
2Key Laboratory of Science and Technology on Electro-optic Control |
|
Abstract: |
Distributed radar network systems can provide significant performance
improvement for target tracking. For a fixed radar network, the achievable
target tracking performance may beyond a specified threshold with full
transmitting energy, which poses a serious risk to radar network and increases
the vulnerability of the whole system in modern electronic warfare. In this
paper, the problem of low probability of intercept (LPI) based resource
management for target tracking in distributed radar network architecture is
investigated. The Authors: ’ goal is to trade off the LPI performance and the
target tracking accuracy. With the radar network system model, an optimal
resource management scheme is presented to minimize the overall resource burden
by optimizing time of the measurement and transmitting energy while guaranteeing
a required level of target tracking performance. Simulation results demonstrate
that the proposed scheme can effectively achieve the optimal solution and bring
a significantly improved LPI performance in practical scenarios. |
|
|
|
|
Oral Session: |
COM03-02 (Paper ID: 2228) |
|
Title: |
An improved DV-Hop algorithm based on RSSI for WSN |
|
Authors: |
Yang Xiang1 Liu Meifeng2 |
|
Affiliation: |
(1Guilin University of Technology, Bowen College of Management, Guilin, China
2School of Information Science and Engineering, Guilin University of Technology,
Guilin, China) |
|
Abstract: |
In order to solve the problem of poor localization accuracy of DV-Hop algorithm,
an improved DV-Hop algorithm is proposed in this paper. The proposed algorithm
is based on RSSI technology to modify the hop count between nodes. The concept
of basic signal strength of node which will be used to modify hop count is
proposed in this paper. The hop coefficient and hopsize coefficient are set up
to modify hop count and hop size of unknown nodes respectively. In addition, the
packet life cycle is put forward to limit the transmission distance of network
data packets. The simulation result shows that the proposed algorithm has better
localization accuracy and can reduce the estimation error of hop count and hop
size between nodes significantly. |
|
|
|
|
Oral Session: |
COM03-03 (Paper ID: 2314) |
|
Title: |
Trust and Potential Field-based Routing Protocol for Wireless Sensor Networks |
|
Authors: |
Shaofang He, Huan Zhao |
|
Affiliation: |
(College of Computer Science and Electronic Engineering, Hunan University,
Changsha, China) |
|
Abstract: |
From the perspective of saving energy and ensuring secure routing of data
transmission for wireless sensor networks, a trust and potential field-based
routing protocol for wireless sensor networks is proposed and evaluated in this
paper. Three factors including residual energy, trust value and distance are
considered in the process of credible cluster head election, and the node that
is the optimal solution of cluster head election function will be the cluster
head. In the stage of establishing inter-cluster routing, considering trust and
potential field of candidate next hop, cluster head chooses the optimal relay as
the next hop and communicate with it. Simulation results demonstrate that the
protocol is more efficient than any other typical clustering algorithms in
saving energy and prolonging the lifetime of networks, but also it solves secure
routing problems that are caused by abnormal nodes in wireless sensor networks. |
|
|
|
|
Oral Session: |
COM03-04 (Paper ID: 2439) |
|
Title: |
A sparse sigma-point consensus filter for wireless sensor networks |
|
Authors: |
Zhi Zhao, Jiu-Chao Feng |
|
Affiliation: |
(School of Electrical and Information Engineering South China University of
Technology, Guangzhou, China} |
|
Abstract: |
In this paper, we address a sparse signal reconstruction problem of nonlinear
dynamic system in Wireless sensor networks (WSNs). A distributed reconstruction
algorithm of sparse nonlinear signal is proposed based on sigma-point filter and
consensus filter with embedded pseudo-measurement (PM) technology. For numerical
accuracy, its square-root version is further developed. By embedding the PM
equation, proposed distributed reconstruction algorithm is able to fuse far
fewer random linear measurements from different nodes in the WSNs, such that
sparse nonlinear signals can be reconstructed closely and all filters can reach
a consensus on the estimation. The simulation results demonstrate the
effectiveness of the proposed algorithm. |
|
|
|
|
Oral Session: |
COM03-05 (Paper ID: 2474) |
|
Title: |
A Lossy Image Coding Scheme for Wireless Multimedia Sensor Network |
|
Authors: |
Zhang Longmei1, Lu Wei2 |
|
Affiliation: |
(1School of Communication and Information Engineering Xi’an University of
Science and Technology, Xi’an, China 2School of Information Engineering |
|
Abstract: |
A simple, high-efficient and energy saving image coding scheme is proposed in
this paper, which is suitable for wireless multimedia sensor network. The scheme
is based on lifting wavelet transform and SPIHT algorithm. To solve the very low
executing efficiency problem of the combined algorithm, we make improvements in
two aspects. Firstly, by eliminating the computation and coding of the outmost
high-pass coefficients, the energy consumption of the transform is reduced and
the execution is speed up. Secondly, by using optimized quantization truncation
pretreatment with high-pass subband coefficients, it is avoided that coding mass
of small value coefficients of the high-pass subbands, which further improves
the executing efficiency. The simulation results show up to 90% reduction in the
executing time is achieved by choosing the optimized truncation threshold, with
the guarantee for the image quality of 34.5dB. |
|
COM04: Sensor Networks II, Tue 1050-1250, A2 |
|
Oral Session: |
COM04-01 (Paper ID: 2497) |
|
Title: |
Energy Efficiency Based Concatenated LDPC and Turbo codes for Wireless Sensor
Networks |
|
Authors: |
Moataz
M. Salah1, Ashraf A. Elrahman2 |
|
Affiliation: |
(1Egyptian Armed Forces 2Computer Networks and Commun. Engineering Dept. College
of Computer Science - King Khalid University) |
|
Abstract: |
Recently wireless sensor networks have been shown to be very attractive for many
wireless communications applications. A large number of very tiny sensors spread
over the area under consideration constitute the wireless sensor networks. These
tiny sensors have limited power resources. Due to limited built-in battery
life-time at each sensor, minimizing power consumption in the sensors is an
important issue for reliable and sustainable network operation. Error control
coding (ECC), such as turbo codes and Low Density Parity Check (LDPC), is a
classic approach used to increase link reliability and lower the required
transmitted power. However, lowered power at the transmitter comes at the cost
of extra power consumption due to the decoder at the receiver. Stronger codes
provide better performance with lower power requirements, but have more complex
decoders with higher power consumption than simpler error control codes. Turbo
codes shows good performance at low SNR with iterative decoding but error floor
phenomenon is occurred at high SNR region. LDPC code shows good performance at
high SNR without error floor in contrast to turbo code. Therefore, LDPC code can
be concatenated to turbo code to reduce error floor. In this paper, an energy efficiency based
serially concatenated scheme of Low Density Parity Check (LDPC) and turbo codes
scheme is proposed. The proposed scheme is discussed, analyzed, and evaluated.
The performance of the proposed scheme is investigated through computer
simulations, which shows an improvement in the bit error rate (BER). |
|
|
|
|
Oral Session: |
COM04-02 (Paper ID: 2303) |
|
Title: |
TR-MAC: A multi-step slot reservation-based hybrid MAC protocol for Ad Hoc
Networks |
|
Authors: |
Xuelin Cao1, Zuxun Song2, Bo Yang1 |
|
Affiliation: |
(1 School of Electronics and Information 2 No.365 Instiution Northwestern
Polytechnical University, Xi’an, China) |
|
Abstract: |
A multi-step slot reservation hybrid MAC
protocol based on the Distributed Coordinate Function (DCF) of IEEE 802.11
standard and Time-Division Multiple Access (TDMA) scheme termed TR-MAC, is
presented for Ad Hoc Networks. The protocol combines the strengths of TDMA and
DCF, using the multi-step slot reservation mechanism reduces the control packets
negotiation, avoids extra contentions and removes the slot assignment algorithm,
thereby improving the performance of throughput without incurring additional
overhead. Furthermore, TR-MAC provides Qos guarantee for multiple data transmis-
sions. The effectiveness of TR-MAC is analyzed and evaluated in terms of
throughput, packet loss rate and delay-jitter comparison with Z-MAC via ns-2
simulation. The results verify that TR-MAC works very well in all three aspects,
and it is superior to Z-MAC. |
|
|
|
|
Oral Session: |
COM04-03 (Paper ID: 2603) |
|
Title: |
MR-SFAMA: A Novel MAC Protocol for Underwater Acoustic Sensor Networks |
|
Authors: |
Lin,Wen |
|
Affiliation: |
(Dept. of Computer Science, Minjiang University, Fuzhou, China) |
|
Abstract: |
Underwater acoustic channel has some special properties: large propagation
delay, limited bandwidth and poor quality of the physical link. The design of
MAC protocol for underwater acoustic sensor networks is more difficult than
terrestrial wireless networks. Because of the large propagation delay, the MAC
protocol of the terrestrial wireless networks is not suitable for the underwater
acoustic sensor networks. This paper proposes a novel MAC protocol based on the
SFAMA protocol. The protocol improves throughput by using a new multiple
reception handshaking mechanism. The handshaking mechanism allows a receiving
node receives multiple data packets simultaneously. Simulation results show that
this protocol achieves a higher throughput and fairness than the SFAMA protocol. |
|
|
|
|
Oral Session: |
COM04-04 (Paper ID: 2608) |
|
Title: |
Mobile Sensor Deployment Based on Distributed Flocking Algorithm |
|
Authors: |
Li Zhang1, Yanping Zhu2 |
|
Affiliation: |
(1Department of Mathematics & Physics Hohai University, Changzhou, China
2College of Information Science & Technology |
|
Abstract: |
In this paper, we propose a distributed deployment algorithm for mobile sensor
networks. The algorithm imitates the flocking behavior to drive sensors to
suitable positions around the target of interest (TOI), such that the distance
between each pair of neighboring sensors approaches a desired value, which could
be determined by practical communication model. The movement of each sensor is
governed by a second-order dynamics. The stimulus to this system is controlled
by a potential function constraining the inter-sensor distance, a velocity
consensus term reflecting the group behavior of neighboring sensors, and a
navigational feedback used to keep tracking the movement of the TOI. Simulation
results demonstrate that, compared to the traditional flocking algorithm, the
proposed algorithm can attain a more uniform deployment of sensors, whether or
not the TOI is static. |
|
|
|
|
Oral Session: |
COM04-05 (Paper ID: 2652) |
|
Title: |
Activities Based Trasmission Protocol for Healthcare Applications |
|
Authors: |
Tiong Hoo Lim |
|
Affiliation: |
(Electrical and Electronic Engineering,
Institut Teknologi Brunei, Gadong, BE3119,Brunei Darussalam) |
|
Abstract: |
With the recent development of wireless and sensing technology, wireless sensor
devices have invaded the medical area with a wide range of capability. These
devices allow medical practitioners to monitor the patients remotely and timely.
However, it is known that the body movement can result in significant
fluctuations of the radio signal, affecting the data communication. Real-time
activity recognition is necessary to ensure that data transmission is avoided
when the signal quality is bad. In this paper, we propose an Activity-based
Transmission Protocol (ATP) that can recognize different user's activities and
adapt the transmission protocol accordingly. By generating the acceleration
waveform using the accelerometer reading, we classify the human activities into
simple, complex and static movements and map it according to the transmission
protocol. The classification will be used to select the transmission protocol.
Extensive experiments performed on real hardware show that the ATP reduce the
energy consumption by identifying and adapting the transmission protocol
according the user's activities without affecting the packet reliability. |
|
|
|
|
Oral Session: |
COM04-06 (Paper ID: 2541) |
|
Title: |
A method for adjusting transmit power of ZigBee network node based on RSSI |
|
Authors: |
Li, Panxing Wang,Tong |
|
Affiliation: |
(The First Branch of China International Telecommunication Construction Group
Design Institute Co. Ltd, Baoding, China) |
|
Abstract: |
In practical application, ZigBee technology has higher request for low power
consumption, how to prolong the life cycle of the network has become a research
focus. Aiming at the defects of the fixed maximum transmitting power in Z-Stack,
an improvement scheme is proposed by using RSSI to adjust the node transmitting
power. The test proved that this method can effectively reduce the power
consumption of nodes, prolong the network life cycle and have certain practical
value. |
|
COM05: SP for Comomunications, Tue 0830-1030, A3 |
|
Oral Session: |
COM05-01 (Paper ID: 2224) |
|
Title: |
Transmission Focusing: A Multi-Antenna Space Hopping Technique |
|
Authors: |
Ying Ju1,2, Qinye Yin1, Qian Yang1, Yuan
Chen1, Huiming Wang1 |
|
Affiliation: |
(1School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049,
China 2Shaanxi Monitoring Station, State Radio Monitoring Center, Xi’an 710200,
China) |
|
Abstract: |
Space hopping is a transmission scheme that emits wireless signals by rapidly
switching transmit antennas according to the space hopping pattern. This paper
proposes a transmission focusing based space hopping technique which aims at
improving communication security by exploiting spatial resources sufficiently.
More specifically, the legitimate user first transmits a training signal. Then
the transmitter detects and processes the received signal and transmits the
information bearing signal back. Thus, energy is focused on the legitimate user
so that the signal-to-noise ratio of the legitimate user has an advantage over
the eavesdropper. The risk of interception is reduced since there is no
information exchange between the transmitter and the legitimate user. Rapidly
switching antennas enhances the changing speed of the channel between the
transmitter and the eavesdropper. Therefore it is hard for the eavesdropper to
demodulate signals correctly. Simulation results are provided and analyzed to
show the performance of the proposed scheme. |
|
|
|
|
Oral Session: |
COM05-02 (Paper ID: 2233) |
|
Title: |
New Mathematical Expressions of Square QAM Constellation |
|
Authors: |
Fanxin Zeng1, Zhenyu Zhang2 |
|
Affiliation: |
(1Chongqing Key Lab. of Emergency
Communication, Chongqing Communication
Institute, Chongqing 400035, China 2College of Communication Engineering, |
|
Abstract: |
independent quaternary variables. The
other consists of independent binary
variables. The number of independent variables of both expressions is twice as
many as the one in the previously known expressions. One of applications of
these novel expressions is to increase the number of offsets in the
constructions of QAM complementary sequences so as to improve the family size of
these sequences. |
|
|
|
|
Oral Session: |
COM05-03 (Paper ID: 2251) |
|
Title: |
Bidirectional Blind Equalization Based on the Constant Modulus and
Subspace-based Algorithms |
|
Authors: |
Junyi Xi, Shefeng Yan, Lijun Xu, Jing Tian |
|
Affiliation: |
(Institute of Acoustics, Chinese Academy of Sciences, Beijing, China) |
|
Abstract: |
A bidirectional blind equalization based on the constant modulus algorithm (CMA)
and subspace-based algorithm (SBA) is proposed in this paper. Without any
training sequence or channel estimation, blind equalization improves the
transmission efficiency significantly in underwater acoustic communications. The
combining scheme in which two outputs run in opposite directions exploits the
diversity and suppresses the error propagation. Moreover, a single–input
multiple-output (SIMO) system is adopted in the algorithm to obtain the multiple
receivers diversity gain and achieves a much better performance. The simulation
results demonstrate that the proposed bidirectional CMA shows much better
performance in a high SNR than that in a low SNR, and the bidirectional SBA
outperforms the conventional method by approximately 2dB in BPSK system and
2.5dB in QPSK system. |
|
|
|
|
Oral Session: |
COM05-04 (Paper ID: 2367) |
|
Title: |
A Variable Tap-length Multi-branch Linear Equalization Algorithm |
|
Authors: |
Zhi-yong Liu |
|
Affiliation: |
(School of Information and Electrical Engineering Harbin Institute of
Technology, Weihai, China) |
|
Abstract: |
A simple algorithm for dynamically adjusting the tap-length of each branch of
multi-branch linear equalizer is proposed. Simulation results show that the
algorithm can adaptively adjust the tap-length of each branch according to the
specific channel profile corresponding to each branch, and the advantages of the
proposed algorithm against existing counterparts. |
|
|
|
|
Oral Session: |
COM05-05 (Paper ID: 2368) |
|
Title: |
Modulation Recognition Method of Communication Signals Based on Correlation
Characteristics |
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Authors: |
Zeng Chuangzhan, Jia Xin |
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Affiliation: |
(Equipment Academy, Beijing, China) |
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Abstract: |
The paper puts forward a method of modulation recognition of communication
signals based on their correlation characteristics under the ideal gauss white
noise conditions. The spectrum peaks’ amounts, amplitudes, and location variance
of signals’ delay correlation and instantaneous correlation were extracted as
the feature parameters. As the simulation results shown, compared to other
modulation recognition methods, this method can recognize more modulation types
and has a better effect in low SNR conditions. It is not sensitive about the
deviation of carrier frequency, too. |
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Oral Session: |
COM05-06 (Paper ID: 2417) |
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Title: |
Suppression of LFM interference in direct sequence spread spectrum
communications based on compressive sensing |
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Authors: |
Zhang Yongshun, Jia Xin, Zhu Weigang |
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Affiliation: |
(Equipment Academy, Beijing, China) |
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Abstract: |
The existing linear frequency modulation (LFM) interference suppression
algorithms for direct sequence spread spectrum (DSSS) communications are
confined to the high sampling rate. In order to solve the problem, compressive
sensing (CS) was applied to suppress the LFM interference in DSSS
communications. The DSSS signal sparse dictionary and LFM interference waveform
matching dictionary was built. The algorithm was designed to suppress the LFM
interference in compressed domain by using the orthogonal matching pursuit (OMP)
algorithm. The effectiveness of the algorithm was validated by computer
simulation. The simulation results show that the algorithm could suppress the
LFM interference effectively, interference suppression effect don't change with
the interference intensity and interference position. This will provide an
effective method for the reconstruction of the compressed DSSS signal in the
condition of the LFM interference. |
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Oral Session: |
COM05-06 (Paper ID: 2209) |
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Title: |
QAM Periodic Complementary Sequence Sets Based on Binary Mutually Uncorrelated
Complementary Sequence Sets |
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Authors: |
Fanxin Zeng1, Zhenyu Zhang 2,1 |
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Affiliation: |
(1Chongqing Key Lab. of Emergency Communication,
Chongqing Communication Institute, Chongqing 400035, China 2College of
Communication Engineering, |
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Abstract: |
This paper focuses on investigation of periodic complementary sequence sets over
quadrature amplitude modulation (QAM) constellation. We propose a method
converting existing binary mutually uncorrelated complementary sequence sets
(MUCSSs) into required sequence sets, and discuss family size of the resultant
sequence sets. More clearly, the number of new sequence sets is an exponent of
period of sub-sequences. Hence, our method can provide a large number of
candidates for applications of CDMA or OFDM communication systems in elimination
of multiple access interference (MAI) or reduction of peak envelope power(PEP),
respectively. |
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COM06: Space Time Processing & MIMO Systems, Tue 1050-1250, A3 |
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Oral Session: |
COM06-01 (Paper ID: 2212) |
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Title: |
A Class of Alamouti-like Orthogonal Space-Time Block Codes for High-rate
Transmission |
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Authors: |
Yier Yan1,2, Qun Yu1, Z.Y Shao1, Shiyou Wang1, Moon Ho Lee2 |
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Affiliation: |
(1School of Mechanical and Electrical Engineering of Guangzhou University, Guangdong Guangzhou 510006, China
2Electrical and Computer Engineering of Chonbuk National University, 561-756, |
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Abstract: |
We propose a class of Alamouti-like
Orthogonal Space-Time Block Codes (STBC) for two additional information bits
without source such as power, bandwidth and time slot. To maintain the full rank
property of the coding gain matrix, we propose a set of STBCs for 4 transmit
antennas transmission to transmit one additional information bit achieving
rate-9/8. Another orthogonal STBC code with rate-1 is proposed in this paper
within the set. It shows by computer simulation results that by employing the
set of STBCs, it achieves better bit error rate (BER) performance and throughput
than that of [1] with a valid BER improvement at high SNR region above 20dB. |
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Oral Session: |
COM06-02 (Paper ID: 2220) |
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Title: |
Attitude Control for Stratospheric Autonomous Airship Based on Dual-loop Sliding
Mode |
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Authors: |
ZHAND Dong , Lin Cao |
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Affiliation: |
(School of Astronautics, Northwestern Polytechnical University, Xi’an, China) |
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Abstract: |
The attitude control system of Stratospheric Autonomous Airship with highly
nonlinear, multivariable and uncertain parameters bring great challenges to
control design. A dual sliding mode control was studied in this paper. Firstly,
the mathematical model of an attitude motion of the Stratospheric Autonomous
Airship was derived. Secondly, the attitude model was divided into a dual loop
structures by using a technology of the multiple time scale. Finally sliding
model controllers were designed for each of loops, and the stability of the
closed-loops system were proved by using Lypaunov analysis. The simulation
results showed that the control method could effectively track the attitude
instruction. |
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Oral Session: |
COM06-03 (Paper ID: 2350) |
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Title: |
Angle and Doppler Frequency Estimation Based on Non-Uniform MIMO Radar System |
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Authors: |
Fan Jingyu, Gu Hong, Su Weimin, Gong Dachen |
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Affiliation: |
(School of Electronic Engineering and Optoelectronic Technology Nanjing
University of Science and Technology, Nanjing, China) |
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Abstract: |
A new direction of departure (DOD),
direction of arrival (DOA) and Doppler frequency estimation algorithm for
non-uniform bistatic Multiple-input multiple-output (MIMO) radar is proposed.
The snapshots in a coherent processing interval (CPI) also form a non-uniform
sequence. Based on tensor decomposition, the factor matrices corresponding to
virtual uniform arrays and virtual uniform snapshot sequence are obtained for
parameters estimation. The proposed improve method further reduces the error in
a noise condition. Simulation results verify the effectiveness of the proposed
algorithm. |
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Oral Session: |
COM06-04 (Paper ID: 2423) |
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Title: |
The Ambiguity Function Analysis of Complete Complementary Sequence in MIMO
System |
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Authors: |
Li Shufeng |
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Affiliation: |
(School of Information Engineering Communication, University of China, Beijing) |
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Abstract: |
The novelty of Multiple-Input Multiple-Output (MIMO) radar can effectively
improve radar system performance by utilizing the multi-antennas and orthogonal
signals. While the traditional single sequence can’t keep the complete
orthogonality (the sidelobes of the auto-correlation and cross-correlation
function equal to zero at all delays). The expression of ambiguity function of
complete complementary sequence (CC-S) is deduced in this paper. The simulation
results show the validity of the proposed ambiguity function of CC-S. The
application of CC-S in MIMO radar is studied and the MIMO radar transmitter
model based on CC-S is established. It is demonstrated that the CC-S has the
potential to significantly improve the performance of MIMO radar system and the
validity of the CC-S applied in MIMO radar is verified. |
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Oral Session: |
COM06-05 (Paper ID: 2450) |
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Title: |
Power Allocation Strategies for Distributed Turbo Codes in Relay Networks |
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Authors: |
Moataz
M. Salah1, Ashraf A. Elrahman2 |
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Affiliation: |
(1Egyptian Armed Forces 2Computer Networks and Commun. Engineering Dept. College
of Computer Science - King Khalid University) |
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Abstract: |
Relay communications channels have been shown to be used to achieve combined
diversity and coding gain in wireless communications networks. To enhance the
performance of relay network some cooperation and distributed coding schemes
have been introduced. In relay networks signals transmitted from one terminal to
another through a number of relays. Embedding the distributed turbo code (DTC)
technique into the relay channels has been shown to approach the theoretical
bound of the capacity of the wireless relay networks. In some applications, the availability of
the power required at the source device to satisfy some level of quality at the
destination device is not available, like in sensor networks, and in some other
applications the power assigned for the source and relay devices are different. In this paper, for the distributed turbo
code (DTC) in relay network, we consider a two hop relay network, which consists
of one source device, one relay device and one destination device. So, in this
paper, the power allocated to each component of the turbo code word, which are
generated at both source device and at the relay device, has been investigated
and conclusions are drawn for design purposes to enhance the performance of the
distributed turbo code (DTC) in relay networks. |
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Oral Session: |
COM06-06 (Paper ID: 2452) |
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Title: |
Anti-jamming Algorithm Based on Multistage Wiener Filter with Variable Loading |
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Authors: |
Yang Qiong, Zhang Yi,Wang Jianing , Tang Chengkai |
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Affiliation: |
(Department of Electronics Engineering Northwestern Polytechnical University,
Xi’an, China) |
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Abstract: |
Adaptive beamforming algorithm performance decreases sharply with the increase
of array errors. Beamforming algorithm based on diagonal loading is a simple and
effective method for improving robustness. But it is difficult to determine the
optimal diagonal loading factor, and the fixed load value does not change with
the array error, reduce the loading effect. To solve the above problems, we
propose a multistage Wiener filter anti-jamming method with variable diagonal
loading. This algorithm not only avoids the inverse covariance matrix by using
the multistage Wiener filtering algorithm, but also reduces the computational
complexity greatly. It reduces the influence of steering vector error on the
performance of the system, so as to improve the array output signal to
interference plus noise ratio and improve the robustness of the system. |
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Oral Session: |
COM06-07 (Paper ID: 2662) |
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Title: |
LUT Based Self Interference Cancellation(L-SIC) in Bidirectional Relaying
Underwater Acoustic Communication System |
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Authors: |
Lingling Zhang1, Jianguo Huang1, Chengkai Tang2 |
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Affiliation: |
(School of Marine Science and Technology
School of Electronics and Information
Northwestern Polytechnical University Xi’an, Shannxi, ) |
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Abstract: |
A scheme of bidirectional relaying underwater acoustic communication is
presented in this paper, which adopted two-way (on-frequency) amplify and
forward relaying, is an emerging technology that allows doubling of system
spectral efficiency. However, underwater acoustic channel is of serious
multipath interference, which leads to great challenges to avoid the
interference from mutual channel user. In this paper, we proposed a self
interference cancellation algorithm based on Look-up Table(LUT), referred as
L-SIC, for a two-user, asynchronous, bidirectional relaying underwater acoustic
communication system by the available side-information from ”echo” signal.
Simulation results show that the performance of our proposed algorithm has lower
SER and computation cost has been significantly reduced compared to full LUT
method. |
|
COM07:Wireless COM0munications and Networks I, Mon 0830-1030, A2 |
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Oral Session: |
COM07-01 (Paper ID: 2278) |
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Title: |
An improved CoSaMP sparse channel estimation algorithm in OFDM system |
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Authors: |
Hongyun Pan, Yanming Xue, Lidan Mei, Fei Gao |
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Affiliation: |
(School for Information and Electronics Beijing Institute of Technology,
Beijing, China) |
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Abstract: |
In order to improve the accuracy and
speed of channel estimation in OFDM system, an improved Compressive Sampling
Matching Pursuit (CoSaMP) algorithm was proposed. The new algorithm which
improves the estimation accuracy and the estimation speed, added a least square
estimation process to the estimation results. Moreover it optimized the number
of atoms in candidate set and the terminal conditions of iterations. Simulation
results show, in OFDM system, the improved algorithm gains better MSE and BER
estimation performance than CoSaMP and Orthogonal Matching Pursuit (OMP).
Meanwhile, it has faster estimation speed than CoSaMP. |
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Oral Session: |
COM07-02 (Paper ID: 2219) |
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Title: |
Planning Base Station and Relay Station Locations in IEEE 802.16j 3-hop Relay
Network |
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Authors: |
Liu Shengming1, Liu Litian2 |
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Affiliation: |
(1Department of Graduate Management 2Department of Information Equipment,
Equipment Academy of PLA Beijing, China) |
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Abstract: |
IEEE802.16j is the specification for WiMAX mobile multi-hop relay system and it
is compatible with IEEE802.16e and supports mobility and IEEE802.16 PMP. As
relay stations have changed the structure of traditional WiMAX network, the
reasonable placement of base stations and relay stations can affect the network
construction result significantly. Firstly, the related work of research on
planning stations in IEEE802.16j network is conducted. Secondly, combining the
condition that whether the subscriber station needs the usage of relaying or
not, a model of 3-hop IEEE802.16j network about station placement is proposed by
limiting the placement location of relay station. The BS and RS placement
problem is transformed into a 0-1 integer programming problem. At last, the
outcome of optimized computation shows that the 3-hop network planning model can
reduce the cost of network in comparison with the 1-hop and 2-hop ones. It is
significant to the construction of WiMAX network in reality. |
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Oral Session: |
COM07-03 (Paper ID: 2302) |
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Title: |
An Overview of Slot Assignment (SA) for TDMA |
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Authors: |
CAO, Xuelin1 SONG, Zuxun2 |
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Affiliation: |
(1School of Electronics and Information 2No.365 Instiution Northwestern
Polytechnical University, Xi’an, China) |
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Abstract: |
With the development of Medium
Access Control (MAC) technologies, various Slot Assignment (SA) schemes have
been proposed to enhance the overall performance of Time Divi- sion Multiple
Address (TDMA) techniques, especially to achieve better slot utilization, higher
system throughput, collision-free transmission and Quality of Service (QoS)
provision in mobile, multi-hop wireless networks. Different kinds of SA schemes
have been widely applied in Mobile Ad Hoc Networks (MANET), Wireless Sensor
Networks (WSN) and Tactical Data Link (TDL) networks. To our knowledge, hardly
any survey works in SA field and thus it is certainly worthy giving an overview
on various SA schemes. In this paper, we present a brief overview of SA schemes.
The classification of SA schemes is described first, and then each SA mechanism
is illustrated and analyzed. Finally, in accordance with their key features, we
provide a qualitative comparison of the several typical SA schemes. |
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Oral Session: |
COM07-04 (Paper ID: 2243) |
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Title: |
Optimizing Playback Quality of http-Based Dynamic Adaptive Streaming on
Smartphones |
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Authors: |
Yayun Bao1, Lanshan Zhang2, Wendong Wang1, Xiangyang Gong1, Xirong Que1 |
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Affiliation: |
(1State Key Laboratory of Networking and Switching Technology, 2Beijing Key
Laboratory of Network System and Network Culture, Beijing University of Posts
and Telecommunications, Beijing, China) |
|
Abstract: |
Due to the seamlessly adaptation to variable wireless network conditions,
Dynamic Adaptive Streaming over HTTP (DASH) has been widely used in today's
video streaming applications. Both the playback fluency and the average bitrate
are significant performance metrics for mobile streaming users. However, the
existing bitrate selection mechanisms based on the inaccurate throughput
estimation will lead to a feedback loop, resulting in undesirably variable and
low-quality video. In this paper, we first present a basic understanding of DASH
system and make a simple analysis of the commercial players. We then model the
bitrate selection problem under constrains of the buffer and the data
requirement of users. To achieve high quality and smoothness playback, we
propose an online dynamic video bitrate selection algorithm (DBS) based on the
instant throughput and the buffer state. Parameters (α, β) in DBS can be set to
adjust the bitrate switch frequency. The extensive simulation demonstrates that
DBS can improve user's experience through video playback in different
situations. |
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Oral Session: |
COM07-05 (Paper ID: 2277) |
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Title: |
An improved ROMP sparse channel estimation algorithm in OFDM system |
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Authors: |
Lidan Mei, Fei Gao, Hongyun Pan, Yanming Xue |
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Affiliation: |
(School for Information and Electronics, Beijing Institute of Technology,
Beijing, China) |
|
Abstract: |
In order to improve the accuracy of channel estimation in OFDM system, an
improved algorithm Regularized Orthogonal Matching Pursuit (ROMP) Algorithm is
proposed. The algorithm avoids choosing the wrong group and makes the group of
atoms’ energy more concentrated which is selected by modified regularized
principle, then adds the secondary screening of estimation results, achieves an
accurate reconstruction of original signal. Simulation results show that, in
OFDM system, compared with ROMP and Orthogonal Matching Pursuit (OMP)
algorithms, the proposed algorithm can get better performance in Mean Squared
Error (MSE) and Symbol Error Rate (SER), improve the accuracy of sparse channel
estimation. |
|
COM08: Wireless COM0munications and Networks II, Mon 1050-1250, A2 |
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Oral Session: |
COM08-01 (Paper ID: 2346) |
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Title: |
Research and Improvement of LTE Uplink Frequency Offset Estimation and
Compensation |
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Authors: |
Zeng zhaohua, Chang jingyi |
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Affiliation: |
(Dept. of Communication Engineering Xi’an University of Science and Technology,
Xi’an, China) |
|
Abstract: |
In LTE system, there are
generally two types of frequency offset: fixed frequency offset and Doppler
frequency offset. In the paper, firstly, two improved methods of fixed frequency
offset estimation are proposed, and then according to the frequency offset
estimation, data can be compensated in inter-symbols and intra-symbols.
Secondly, with the presence of two types of frequency offset in the system, a
joint estimation and compensation algorithm of fixed frequency offset and
Doppler frequency offset is proposed. Simulation results show that the proposed
algorithms can meet the performance requirements for frequency synchronization
of LTE system and reduce system block error ratio（BLER）effectively. |
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Oral Session: |
COM08-02 (Paper ID: 2360) |
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Title: |
MCMC-Based Channel Estimation for OFDM Systems in Dispersive Time-Varying
Channels |
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Authors: |
Ge Yao, Jiang Zhe, Zhao Yixuan, Shen Xiaohong |
|
Affiliation: |
(School of Marine Science and Technology,
Northwestern Polytechnical University, Xi’an, PR China) |
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Abstract: |
Channel estimation is therefore required as an integral part of the receiver
design. The channel model adopted in this paper allows the CIR to vary within
one OFDM symbol. To facilitate the channel estimation solution, maximum
likelihood (ML) estimator adopts a second-order Taylor series expansion to
approximate the intercarrier interference (ICI) caused by Doppler frequency
shifts to simplify the channel estimation problem. However, this method which
needs to find the roots for a third-order polynomial is so complex. In this
paper, we investigate a Markov Chain Monte Carlo (MCMC)-based channel estimation
for OFDM systems in dispersive time-varying channels. The proposed method is
performing similar to ML algorithm with lesser computational complexity.
Moreover, our proposed method can adopt a second/third or even higher-order
Taylor series expansion to approximate the ICI, avoiding to find the roots for a
high polynomial. |
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Oral Session: |
COM08-03 (Paper ID: 2365) |
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Title: |
Adjustable Multiple Relay Selection for Cooperative Communication |
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Authors: |
Zhi-yong Liu |
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Affiliation: |
(School of Information and Electrical Engineering Harbin Institute of Technology
(Weihai), Weihai, China) |
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Abstract: |
In this paper, an adjustable multiple relay selection (MRS) scheme for
cooperative communication with amplify-and-forward (AF) relay under frequency
selective channels is proposed. In the proposed scheme, the relays are ordered
firstly by the end-to-end SNR, then the relays are sequentially selected out
from N relays and the number of cooperating relays is adjusted dynamically
according to the current channel state information. The aim of this work is to
dynamically estimate the optimum number of cooperating relays. ‘Optimum’ means
the minimum number of cooperating relays achieving the maximum level of combined
SNR. Numerical results verify the analyses and show that the scheme can
adaptively adjust the number of cooperating relays, and outperform conventional
relay selection schemes. Hence, the proposed scheme provides better tradeoff
between BER performance and spectral efficiency and to save more energy in
cooperative wireless networks. |
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Oral Session: |
COM08-04 (Paper ID: 2374) |
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Title: |
An OFDMA based Multiple Access Protocol with QoS Guarantee for Next Generation
WLAN |
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Authors: |
Zhou Hu, Li Bo, Yan Zhongjiang, Yang Mao, Qu Qiao |
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Affiliation: |
(School of Electronics and Information Northwestern Polytechnical University,
Xi’an, China) |
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Abstract: |
To provide better QoS guarantee for the next generation WLAN, IEEE 802.11ax task
group is founded in March 2014. As a promising technology to accommodate
multiple nodes concurrent transmissions in dense deployment scenario, orthogonal
frequency division multiple access (OFDMA) will be adopted in IEEE 802.11ax with
great possibility. In this paper, an OFDMA based multiple access protocol with
QoS guarantee is proposed for the next generation WLAN. Firstly, a redundant
access mechanism is given to increase the access success probability of the
video traffic where the video stations can concurrently send multiple RTS
packets in multiple subchannels. Secondly, a priority based resource allocation
scheme is presented to let AP allocate more resources to the video stations.
Simulation results show that our protocol outperforms the existing OFDMA based
multiple access for IEEE 802.11ax (OMAX) protocol in terms of delay and delay
jitter of video traffic in dense deployment scenario. |
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Oral Session: |
COM08-05 (Paper ID: 2428) |
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Title: |
Power Scheduling Of Distributed Multiple-Hypothesis Detection by Task-Specific
Information |
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Authors: |
Kim, Hyoung-soo Yang, Sung-II |
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Affiliation: |
(Department of Electrical and Computer Engineering Hanyang University, Seoul,
Korea) |
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Abstract: |
We introduce a new information theoretic power allocation scheme applicable to
distributed multiple-hypothesis detection systems communicating over slow fading
channels. In earlier work, it was demonstrated that performance could be
improved by adjusting transmit power to maximize the J-divergence measure of a
binary detection system and the J-divergence method is extended for a
distributed multiple-hypothesis detection system by defining pairwise sums of
the J-divergences. However, the pairwise sum measure does not provide a tight
bound. Basically, the more hypotheses we adopt, the less efficient the
optimization is. Thus, we derive a more efficient classification-oriented
information measure for power optimization of distributed multiple-hypothesis
system by introducing a virtual decider variable. The virtual decider variable
is directly related with classification task. Various numerical results are also
shown to compare the performances. |
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Oral Session: |
COM08-06 (Paper ID: 2455) |
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Title: |
A GNSS Precise Velocity Determination Algorithm Based on Chaotic Oscillator |
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Authors: |
Xu,Haowei Lian,Baowang |
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Affiliation: |
(Dept. Electronics Engineering, Northwestern Polytechnical University, Xi’an, P.
R. China) |
|
Abstract: |
For the GNSS receiver, when the satellite navigation signal is weak, the
traditional tracking accuracy of GNSS receiver tracking loops will decline
sharply which will lead to the deterioration of the Carrier frequency error.
Aiming at improving the Velocity Determination accuracy of GNSS receiver, we
propose the GNSS Precise Velocity Determination Algorithm Based on Chaotic
Oscillator. The proposed algorithm, on the basis of the traditional tracking
loop, has greatly improved the accuracy of the original Doppler frequency by
introducing the Chaotic Oscillator to estimate the carrier frequency. The
simulation proves that, under a certain dynamic range, the velocity
determination accuracy of the GNSS receiver, in the aid of the new algorithm,
has been greatly improved. |
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COM09: Wireless COM0munications and Networks III, Mon 1400-1600, A2 |
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Oral Session: |
COM09-01 (Paper ID: 2456) |
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Title: |
Single Station and Single Antenna Direction Measurement Method Assisted by Path
Planning |
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Authors: |
He Wei, Lian Baowang, Xu Haowei |
|
Affiliation: |
(School of Electronics and Information, Northwestern Polytechnical University,
Xian, China) |
|
Abstract: |
A Single Station and Single Antenna
Direction Measurement Method has been developed to get the direction between the
target and carrier. This method can get the position, velocity, attitude (PVA)
and the Doppler between target and carrier through the coupled navigation
federal data fusion filter. The direction can be calculated through the attitude
information and velocity information. The path planning algorithm can eliminate
the false target. The simulation results have shown that this method can get the
direction between target and carrier with single station and single antenna. And
it can also improve the measurement accuracy and the performance of the system. |
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Oral Session: |
COM09-02 (Paper ID: 2472) |
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Title: |
Max-Ratio Relay Selection for Secure Communication in Amplify-and-Forward
Buffer-Aided Cooperative Networks |
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Authors: |
Yajun Zhang1, Aiwei Sun1, |
|
Affiliation: |
(1The Institute of Communications Engineering PLA University of Science and
Technology, Nanjing, China 2Nanjing Telecommunication Technology Institute,
CESEC, Nanjing, China) |
|
Abstract: |
It has been verified cooperative communication technology is an effective way to
achieve physical layer security. Recently, people paid much attention to the
cooperative networks with buffering relay, which can get significantly
performance advantage. In this paper, we investigate the secure problem in
amplify-and-forward buffer-aided cooperative networks. We modeled the AF secure
cooperative network with buffering relay, and proposed max-ratio relay selection
criterion, which we call B-AFbMRS for short (Buffer-aided AF based Max-Ratio
relay Selection). Simulation results show that, for AF secure cooperative
network, buffer aided relay can significantly enhance the secrecy outage
probability. |
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Oral Session: |
COM09-03 (Paper ID: 2473) |
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Title: |
Updating Conflict Solution for Pipelined Layered LDPC Decoder |
|
Authors: |
Zijing Wu, Kaixiong Su |
|
Affiliation: |
(College of Physics and Information Engineering Fuzhou University, Fuzhou,
China) |
|
Abstract: |
Due to the overlap of nonzero sub-matrices in the successive layers of check
matrix, the pipeline process might introduce data updating conflict in pipelined
layered LDPC decoder. A solution to solve this problem by adjusting the decoding
order of layers in check matrix and nonzero sub-matrices in the same layer is
proposed in this paper. Furthermore the corresponding fast algorithm is given.
In term of hardware implementation, this method which can be achieved simply by
changing the order of the corresponding data in the ROMs will not increase any
extra hardware overhead. Experimental results show that due to fewer idle clocks
even zero idle clock need to be inserted into decoding pipeline when using this
solution, the decoding rate is improved effectively. More importantly, the
method will not degrade the decoding performance for LDPC codes. |
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Oral Session: |
COM09-04 (Paper ID: 2529) |
|
Title: |
A Reliable Mobile Network Management Scheme Based on PMIPv6 |
|
Authors: |
Keqiang Xie, Jun Lin, Lei Wu |
|
Affiliation: |
(Software Quality Engineering Research Center The 5th Electronics Research
Institute of the Ministry of Industry and Information Technology of China,
Guangzhou, China) |
|
Abstract: |
Now the challenge for the mobile network
in reliability is more and more serious. The traditional mobile network
management schemes such as Mobile IPv6 (MIPv6) and Proxy Mobile IPv6 (PMIPv6)
have hardly taken this issue into account. In this paper, we make an improvement
based on PMIPv6 to propose a network based reliable mobility management scheme
called R-PMIPv6. The basic idea of R-PMIPv6 is to split the control and forward
plane of traditional mobility anchor and increases the redundancy of forward
plane to ensure the function continuity of entity and consistency of services,
thus realize the reliable mobile network management effectively. We design the
basic architecture and redundancy pool in which failure detection procedure and
service switch procedure are detailed. Fault tolerant time and reliability of
PMIPv6 are analyzed in mathematics. Finally numerical results are presented. |
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Oral Session: |
COM09-05 (Paper ID: 2542) |
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Title: |
An Algorithm of DL Cell Throughput based on MCS Level in LTE Network |
|
Authors: |
Li Panxing, WangJing, |
|
Affiliation: |
(The First Branch of China International Telecommunication Construction Group
Design Institute Co. Ltd, Baoding, China) |
|
Abstract: |
In order to estimate the DL cell average throughput of LTE network, the paper
proposes an algorithm of LTE throughput based on MCS level distribution which
can be used to estimate the DL cell capacity under different load conditions.
The algorithm is convenient for operation and useful in guiding network planning
and optimization, the simulation results show that the algorithm is effective
and the effectiveness doesn’t depend on scene. |
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Oral Session: |
COM09-06 (Paper ID: 2546) |
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Title: |
Distributed Interference Alignment with Low Overhead |
|
Authors: |
Ma Yanjun |
|
Affiliation: |
(School of Communication and Information Engineering Xi'an University of Science
and Technology, Xi'an China) |
|
Abstract: |
Interference alignment (IA) has been shown to achieve the maximum achievable
degrees of freedom in the interference channel. However, the overhead required
is huge, which cannot be acceptable in a real environment. In this paper, based
on closed-form IA solutions, a low overhead distributed interference alignment
(LOIA) scheme is proposed for the K-user single-input single-output (SISO)
interference channel, and extension to multiple antenna scenarios are also
considered. Compared with the iterative interference alignment (IIA) algorithm
proposed by Gomadam et al., the overhead of our LOIA scheme is greatly reduced.
Simulation results show that the IIA algorithm is strictly suboptimal compared
with our LOIA algorithm in the overhead-limited scenario. |
|
COM10: Wireless Communications and Networks IV,
Mon 1620-1820, A2 |
|
Oral Session: |
COM10-01 (Paper ID: 2553) |
|
Title: |
An Interference Alignment Scheme for Sum Rate Enhancement in Multi-Cell
Communication Systems |
|
Authors: |
Juan Wei, Shiya Zhang, Wenjing Wang, Man
Zhao |
|
Affiliation: |
(School of Communication Engineering, Xidian University, Xi’an, Shaanxi, P. R.
China) |
|
Abstract: |
In this paper, maximum rate interference
alignment (MR-IA) algorithm is proposed for multi-cell downlink interference
systems. Based on the researches on distributed interference alignment (IA)
algorithms, the proposed algorithm can further enhance the sum rate. In this
scheme, the precoding matrices are optimized by searching precoding alone the
gradient ascent direction of throughput. In this process, the step length is
decreased with multiplying a parameter smaller than 1, which leads to the
degradation to rank constrained rank minimization interference alignment
(RCRM-IA) algorithm. Thus, the algorithm can attain interference alignment as
well as the throughput improvement eventually. Simulation examples are provided
showing that the proposed algorithm can enhance the sum rate obviously compared
with the conventional algorithms. |
|
|
|
|
Oral Session: |
COM10-02 (Paper ID: 2626) |
|
Title: |
Performances Analysis of Polar Codes Decoding Algorithms over Variant
Binary-Input Channels |
|
Authors: |
Wenjiao Xie1, Ruifu Tian2, Lixin Li1,
Tao Bao1, Huisheng Zhang1 |
|
Affiliation: |
(1School of Electronics and Information, Northwestern Polytechnical University
Xi’an, China 2Shanghai Institute of Aerospace Electronic Technology, Shanghai
201109, China) |
|
Abstract: |
In this paper, the performance of state of the art decoding methods of polar
codes, such as the SC (Successive Cancellation), BP (belief propagation), LP
(Linear Programming), LSC (List Successive Cancellation) and ML(Maximum
Likelihood) decoding, over different binary-input discrete memoryless channels
(B-DMCs) are presented. Simulation results indicate that decoding algorithms of
polar codes have the performances of the estimated bit error rate (BER) below
the order of 10-5. In addition, we came to the conclusion that BP algorithm
outperforms SC at the cost of computational complexity. The performance of LP
decoder is better than BP and the complexity is less than BP scheme, however, it
can only be used in binary erasure channels (BECs). ML decoder has the best
performance, but its high complexity makes it act as a reference to reveal the
gap between ML and other algorithms. In order to remedy the performance
deficiencies without any significant increase in decoding complexity, we further
study the concatenated polar codes—the polar-LDPC (Low Density Parity Check)
concatenation scheme, which is substantially outperforms ML decoding. What’s
more, the concatenated Polar-LDPC codes can remedy the error floor of LDPC
codes. We firmly believed that the concatenated scheme of polar-LDPC would be a
prominent technique in 5G (5th-generation) to support the more reliable
transmission demand. |
|
|
|
|
Oral Session: |
COM10-03 (Paper ID: 2628) |
|
Title: |
Sparse Channel Estimation for Cyclic Prefixed Single Carrier Block Transmission
Using Compressed Sensing |
|
Authors: |
Meng Qingwei1 , Ma Zhiqiang1, Feng
Kuisheng1, Chen Yifu2 |
|
Affiliation: |
(1College of Information and Navigation, Air Force Engineering University,
Xi’an, Shaanxi, China 25th Brigade, Xi’an
Flight Academy of Air Force, Xi’an, |
|
Abstract: |
A sparse channel estimation method is proposed for cyclic prefixed single
carrier block transmission with frequency domain equalization (CP-SCBT-FDE)
system employed in sparse frequency selective fading channels by using
compressed sensing (CS) technique. The sparse channel estimation in CP-SCBT-FDE
system is formulated as a canonical CS problem, and a measurement matrix that
satisfies restricted isometry property (RIP) is constructed to guarantee
reliable channel impulse response (CIR) reconstruction from limited number of
noisy observation measurements. Unlike the conventional channel estimation
technique, such as frequency domain (FD) estimation and time domain (TD) least
square (LS) estimation techniques, the new method can fully take the sparsity of
the sparse frequency selective channel into account, which help improve the
estimation accuracy of the sparse channel. Simulation results show that the
proposed sparse channel estimation method outperforms the widely accepted TD and
FD LS channel estimation methods in bit error rate (BER) and mean-square error
(MSE). |
|
|
|
|
Oral Session: |
COM10-04 (Paper ID: 2638) |
|
Title: |
Two-Way Relaying with Non-Coherent Differential MPSK Modulation |
|
Authors: |
Fan, Jie Li, Lixin |
|
Affiliation: |
(School of Electronics and Information Northwestern Polytechnical University,
Xi’an, China) |
|
Abstract: |
This paper focuses on two-way
relaying (TWR) system, where two source nodes exchange information with each
other simultaneously via the relay node. We proposes a denoise-and-forward
two-way relaying (DNF-TWR) scheme using non-coherent multiple differential
phase-shift keying (M-DPSK) modulation when the channel state information (CSI)
is unknown. Firstly, we design the denoising mapping function at the relay and
the decoder at the source using maximum likelihood (ML) principle. Then we take
DNF-TWR with differential binary phase-shift keying (2DPSK) modulation as an
example to derive the closed-form end-to-end bit error rate (BER). The
analytical results are verified through simulations. The simulation results show
that DNF-TWR scheme with 2DPSK modulation works well, and the BER of DNF-TWR
with M-DPSK modulation becomes larger as the modulation order M increases. |
|
|
|
|
Oral Session: |
COM10-05 (Paper ID: 2651) |
|
Title: |
Sum-product Decoding for Sparse quantum codes over random balanced X-Z Channel |
|
Authors: |
HAN Chun-Lei1 , SHI Sha2, |
|
Affiliation: |
(1Laboratory of Electronic Information Network CETC No.20 Research Institute,
Xi’an China 2School of Life Science and Technology, Xidian University, Xi’an
China |
|
Abstract: |
In this paper, we generalize the feedback sum-product algorithm to the decoding
of sparse quantum codes over random balanced X-Z Channels, thereby significantly
improving the performance of the concerned sparse quantum codes. We point out
that, due to the randomness of the channel, degeneracy errors would be degreased
greatly and the improvement of the performance of the sparse quantum codes come
from the new decoding algorithm, where more reliable and useful information is
feedback to the decoder by using the feedback strategy. As the end of this
paper, simulations are given to verify our statements. |
|
CPT01: Embedded System Design, Sun 1400-1600, A3 |
|
Oral Session: |
CPT01-01 (Paper ID: 2185) |
|
Title: |
Design and Implementation of Video Frame Extractor for Television Broadcasting
Monitoring System |
|
Authors: |
Xiang Li1, Long Pang1, Yang Liu2 |
|
Affiliation: |
(1School of Information Engineering, Communication University of China, Beijing,
China 2Center for Technology Management, China National Radio, Beijing, China) |
|
Abstract: |
In this paper, a video frame extractor applying analog video input signals for
television broadcasting monitoring system is designed and implemented in order
to satisfy the requirements for rapid development of radio and television
industry. The video frame extractor uses advanced RICS machine (ARM) embedded
processor S3C2440A with Linux operating system as system host processor and
field programmable gate array (FPGA) EP3C25 as system coprocessor, increasing
the design flexibility and real-time performance. These extracted video images
are compressed using a video encoder ADV212, and finally stored in local hard
disks or transmitted to data servers through networks. In the verification
chapter, the loop-locked experimental results under both normal and emergency
modes demonstrate the validity and applicability of designed analog video frame
extractor. |
|
|
|
|
Oral Session: |
CPT01-02 (Paper ID: 2204) |
|
Title: |
Implementation of Channel Simulator for Communication Satellite Systems |
|
Authors: |
ZHANG Hui1, WANG Hong-Feng1, CHEN Hao1, ZHENG Zhe2 |
|
Affiliation: |
(1Beijing Space Information Relay and Transmission, Technology Research Center,
Beijing, P. R. China 2Institute of Information and Electronic, |
|
Abstract: |
In this paper, hardware implementation and simulation method of channel
simulator of Ka-band communication satellite systems are investigated. Adopting
FPGA+DSP hardware, the developed simulator can exactly simulate various
satellite channel impairments including phase noise, time delay, Doppler, Ricean
fading, Rayleigh fading, rain fading, additive Gaussian white noise, modulated
interference signals, spurious performance, amplitude-frequency response, and
group delay. Up until now, this new simulator is the most comprehensive channel
simulator in the world. Furthermore, the designs of the key simulation modules
including group delay and phase noise are presented in the paper and their
simulation accuracy are also discussed. Finally, Measurement results show that
the proposed simulator has achieved good performance. |
|
|
|
|
Oral Session: |
CPT01-03 (Paper ID: 2334) |
|
Title: |
Bi-channel PAL Sync Signal Switcher Based on CPLD |
|
Authors: |
Aiguo Li, Chaoyang Zhang |
|
Affiliation: |
(College of Computer Science and Technology, Xi’an University of Science and
Technology, Xi’an, Shaanxi, P.R. China) |
|
Abstract: |
The normal display of the video signal depends on the video sync signal. In the
pragmatic applications, failing to display of the video signal usually subjects
to the loss of the sync signal, and affects the regular production. And the
excessive long transmission lines debilitate the video sync signals, which
results in the video signal displaying abnormally. Bi-channel PAL sync signal
switcher discussed in this paper is based on Complex Programmable Logic Devices
(CPLD) and generates PAL timing by CPLD programming. It is used to solve the
problem that the video is unable to display for the loss of video sync signal.
Meanwhile, the three-state gates are used to overcome the weakness of the load
driving ability. |
|
|
|
|
Oral Session: |
CPT01-04 (Paper ID: 2434) |
|
Title: |
Remote Farm Environment Monitoring System Based on Embedded System and ZigBee
Technology |
|
Authors: |
Su Yang1, Su Tong2, Liu Liang1 |
|
Affiliation: |
(1School of Communication and Information Engineering, Xi’an University of
Science & Technology, Xi’an, China 2Dazhu Group of Coal and Electricity, Dazhou,
China) |
|
Abstract: |
Nowadays aquaculture industry requires the real-time control on farm
environmental parameters such as humidity, temperature and illumination
intensity. This paper presented a remote system for farm environment monitoring
which uses ZigBee technology, embedded system and network database. Except
obtaining the monitoring function on farm humidity, temperature, light intensity
and data query, the system also provides real-time warning for staff through
setting the upper and lower limit value of various parameters, which is
convenient for farm staff to implement the on-site or remote control on
environmental parameters. The test result shows that our proposed system can
obtain a cost-effective monitoring solution for farmers with perfect and stable
performance. |
|
|
|
|
Oral Session: |
CPT01-05 (Paper ID: 2447) |
|
Title: |
Research and Design of Frequency Synthesizer for BPM Timing Simulator |
|
Authors: |
Chaozhong Yang1,2, Yulin Wang1,2, Yu Hua1,2, Zhaopeng Hu1,2, Yuanyuan Gao1,2 |
|
Affiliation: |
(1National Time Service Center, Chinese Academy of Sciences 2University of
Chinese Academy of Sciences, Xi’an, China) |
|
Abstract: |
This paper introduces the principle of
frequency synthesizers for BPM timing simulator , demands for modernization of
BPM timing system , design a kind of frequency synthesizers based on DDS (direct
frequency synthesis technology) chip AD9854 and embedded micro-controller
processor; it is characterized by output any frequency within the frequency
range 0~18MHz and the frequency interval is 0.1 Hz , BPM timing system can be
meet characteristics of the multi-frequency alternating and requirements of
miniaturization, high stability. |
|
|
|
|
Oral Session: |
CPT01-06 (Paper ID: 2637) |
|
Title: |
New Mapping Model in 2D Mesh for Nview Multidisplay |
|
Authors: |
Tao Jiang, Min Li, Xiaoshan Yu, Huaxi Gu |
|
Affiliation: |
(State Key Laboratory of Integrated Service Networks Xidian University, Xi’an,
China) |
|
Abstract: |
Nview Multidisplay technology is getting
popular in many fields. In order to allow a high degree of parallel processing,
the processing units would be massively eplicated on the chip. Traditional bus
based architecture faces scalability issue. In this paper, we introduce the
concept of network on chip to Nview Multidisplay application. The 2D Mesh
topology is explored based on the requirement of Nview Multidisplay. A new
mapping model and a mapping algorithm are developed to obtain an optimized
placement of the processing units. The results from our simulations under the
metrics of end-to-end (ETE) delay and throughput in different offered load are
compared with those of traditional mesh topology. |
|
|
|
|
Oral Session: |
CPT01-07 (Paper ID: 2506) |
|
Title: |
Design of a Wellhead Remote Controller System Based on ARM |
|
Authors: |
Hongmei Jin |
|
Affiliation: |
(School Of Computer Science And Technology Xi'an University Of Science And
Technology, Xi'an , China) |
|
Abstract: |
By adopting embedded system, the wellhead remote control equipment is designed
by choosing an ARM processor and RF2401. In the processing that Wireless
transmission to achieve petroleum logging the data of communication between the
wellhead, winches, ground equipment vehicles, or other data acquisition devices,
so the operation of the downhole tool can be grasped by wellhead staff timely
and accurate, to reduce logging Construction Accident and convenient logging
construction operation. |
|
CPT02: Information and Data Security, Sun 1620-1820, A3 |
|
Oral Session: |
CPT02-01 (Paper ID: 2187) |
|
Title: |
Memory Corruption Vulnerabilities Detection for Android Binary Software |
|
Authors: |
Bin Zhang, Bo Wu, Chao Feng and Chaojing Tang |
|
Affiliation: |
(School of Electronic Science and Engineering National University of Defense
Technology, Changsha, China) |
|
Abstract: |
The vulnerabilities exist in Android binary software bring critical threat to
Mobile Internet security. In this paper, we put forward a novel method to detect
memory corruption vulnerabilities for Android binary software which builds upon
memory accession security rules and selective symbolic execution. We also
implemented our prototype system and the evaluation results show that our method
can detect the memory corruption vulnerabilities in Android binary software
effectively and accurately. |
|
|
|
|
Oral Session: |
CPT02-02 (Paper ID: 2196) |
|
Title: |
Application of Chinese medical document anonymization in EMR System |
|
Authors: |
Yi-hui Xu, Tian-shu Zhou, Yu Tian, Jing-song Li |
|
Affiliation: |
(EMR and Intelligent Expert System Engineering Research Center of Ministry of
Education, Innovation Joint Research Center for Cyber-Physical-Society System, College of Biomedical Engineering and
Instrument Science, Zhejiang University,
Hangzhou, China) |
|
Abstract: |
Anonymization of the medical document provides effective protection of patient
privacy so as to promote the development of anonymization of electronic medical
records in China. However, traditional methods which identify patient privacy
manually are not only inefficient with frequent errors and omissions but also
labor-consuming. To solve this problem, this paper introduces an algorithm which
has achieved batch anonymizing Chinese medical document upon EMR system through
fragmenting natural sentences and words of medical document and fully exploiting
the correlation between the names and the context. With this approach, the name
detection rate has reached 96.82%, higher than manual average PHI detection rate
of 81% done by clinical staff and has
meanwhile reached an accuracy of 90.57%.It has reduced the impact of
anonymization on the clinical and medical value of medical document to the
maximum degree while still protecting patient privacy. |
|
|
|
|
Oral Session: |
CPT02-03 (Paper ID: 2205) |
|
Title: |
Study on the Policy Conflict Detection in the Security Management Model |
|
Authors: |
Liang Shen, Zhijia Wang, Xiaoxiao Zhang and Jian Gu |
|
Affiliation: |
(The Third Research Institute of Ministry of Public Security Shanghai, China) |
|
Abstract: |
Through using the concept of deontic logic and classifying different types of
policy conflicts, an effective policy conflict detection method was proposed.
The main idea of the method is based on the research on the existing policy
conflict detection methods. Then, a powerful conflict library in the detection
process is built. The library is combined with the static and dynamic detection
of policy conflicts, and thus is able to supervise the running state of the
management system. Therefore, the proposed method can precisely detect policy
conflicts during the run-time of the management system. |
|
|
|
|
Oral Session: |
CPT02-04 (Paper ID: 2518) |
|
Title: |
Calibration-based Features for JPEG Steganalysis Using Multi-Level Filter |
|
Authors: |
Cheng Wang, Guorui Feng |
|
Affiliation: |
(School of Communication and Information Engineering, Shanghai University, Shanghai, China) |
|
Abstract: |
This paper proposes a novel feature set
for JPEG steganalysis calibrated by multi-level filters. These features are
built by the entries of co-occurrence matrices from multiple new planes obtained
by subsampling the undecimated DCT coefficients according to specific element
positions. The method can also be interpreted as a multi-level calibration
method in the spatial domain by shifting the cropping positions in the original
image to enhance the distinguishing ability of the feature set. Experimental results show that the
proposed method can give the less detection error than that of some
state-of-the-art steganalysis algorithms such as DCTR and CC-JRM. |
|
|
|
|
Oral Session: |
CPT02-05 (Paper ID: 2567) |
|
Title: |
Nonlinear Analysis for Hardware Trojan Detection |
|
Authors: |
Errui Zhou, Zhixun Zhao, Shaoqing Li, Lin Ni |
|
Affiliation: |
(College of Computer, National University of Defense Technology, Changsha, China
Xi’an Communications College, Xi’an,
China) |
|
Abstract: |
As an important content of chip security, Hardware Trojan detection has
attracted a lot of attention. The existing Hardware Trojan detection methods
based on side-channel power consumption are effective. The main existing
Hardware Trojan detection methods based on side-channel power consumption
analysis mainly concentrate on linear features but ignore the features of
Hardware Trojan in nonlinear space. This paper proposes a nonlinear detection
method based on side-channel power
consumption information, it extracts and magnifies features of Hardware Trojan
in nonlinear space and achieves Hardware Trojan detection. The results of
experiment show that the nonlinear analysis method proposed in this paper can
detect the Hardware Trojan effectively in nonlinear space. |
|
|
|
|
Oral Session: |
CPT02-06 (Paper ID: 2591) |
|
Title: |
Wavelet De-Noising Method in the
Side-Channel Attack |
|
Authors: |
Jun Li, Yubo Shi, Shaoqing Li, Errui Zhou |
|
Affiliation: |
(College of Computer, National University of Defense Technology, Changsha,
China) |
|
Abstract: |
The encrypted data in security chips will leaked by side-channel information
such as running time, power consumption, electromagnetic signals. Which make it
possible to side-channel attack. But the side-channel power consumption data
used in the actual attack usually contains a lot of noise, which greatly reduces
the success rate. In this paper, the wavelet de-noising research is based on
power consumption data which come from the FPGA-based power consumption
acquisition platform. By comparing the de-noising effect of different wavelets,
different decomposition level and different threshold, a reliable wavelet
de-noising method based on dynamic power consumption is founded. Using this
method, we obtained a great de-noising effect. |
|
|
|
|
Oral Session: |
CPT02-07 (Paper ID: 2347) |
|
Title: |
IB-KEM Based Password Authenticated Key Exchange Protocol |
|
Authors: |
Junhan Yang1, Bo Su2 |
|
Affiliation: |
(1School of Computer Xi’an University of Science and Technology Xi’an, Shaanxi
710054, China |
|
Abstract: |
Cryptanalysis of Chang et al. proposed a communication-efficient three-party
password authenticated key exchange protocol, we found that their protocol
easily suffers from password-compromise impersonation attack and privileged
impersonation attack. In this paper, we introduce a novel three-party password
authenticated key exchange protocol based on IB-KEM under HDH assumption.
Security analysis has shown that our protocol achieved the following security
requirements: (1) Forward security; (2) Mutual authentication; (3)
Off-line/on-line password guessing attack resistance; (4) Password compromise
impersonation attack resistance; (5) Privileged impersonation attack resistance. |
|
CPT03: Internet of Things and Cloud Computing, Mon 0830-1030, A3 |
|
Oral Session: |
CPT03-01 (Paper ID: 2345) |
|
Title: |
A Framework for Monitoring and Security Authentication in Cloud based on
Eucalyptus |
|
Authors: |
Zefeng Gao1, Xiaoyong Li2 |
|
Affiliation: |
(1School of Computer Science & Technology 2Key Laboratory of Trustworthy
Distributed Computing and Service, Ministry of Education Beijing University of
Posts and Telecommunications Beijing, China) |
|
Abstract: |
Since the cloud computing was proposed, the research of cloud instantaneously
swept the world and all kinds of cloud products have appeared in public eyes.
But if the cloud platform security is not guaranteed, companies or individuals
will not run and store their own data in the cloud, especially since the
Hollywood nude-picture scandal event put the cloud computing to the point of a
struggle. So how to put these cloud product promotion out and make interest to
the company becomes the company's biggest problem, and the credible cloud’s
service has become an urgency to implement. In this paper, we are concerned with
trust in the cloud computing. Paper mainly launches the discussion from the
application layer and infrastructure layer. The monitoring system collects data
from cloud system real time, and makes the corresponding judgment according to
the analysis results. At the same time, the system will report the data to the
third party to record and modify the system rules timely. By these means, the
cloud system can improve the stability of the service and make it more credible. |
|
|
|
|
Oral Session: |
CPT03-02 (Paper ID: 2633) |
|
Title: |
A Modified Genetic Algorithm for Multi-Criteria Optimization Based On Eucaplytus |
|
Authors: |
Rui Zhang1，Xiaoyong Li2 |
|
Affiliation: |
(1School of Computer Science 2Key Laboratory of Trustworthy Distributed
Computing and Service, Ministry of Education Beijing University of Posts and
Telecommunications，Beijing,
China) |
|
Abstract: |
Eucalyptus is an open source cloud platform, scholars can study many problems of
cloud computing from its extendibility and open source. In terms of the research
about resource scheduling, Eucalyptus has its own three algorithms, Greedy
algorithm, Round Robin algorithm and Power Save algorithm. They each only
consider part of resource scheduling. The existing algorithms can not meet a
comprehensive need, such as load balancing, migration cost, QOS and so on.
Therefore, a new algorithm which can get global optimization solution is
proposed. Genetic algorithm has the features of global optimal and is easy to be
implemented. To satisfy multiple goals about resource scheduling on Eucalyptus,
a modified genetic algorithm for multi-criteria optimization based on Eucalyptus
is presented. Experimental results show the merits and feasibility of the
proposed algorithm. |
|
|
|
|
Oral Session: |
CPT03-03 (Paper ID: 2363) |
|
Title: |
Application of Improved Genetic Algorithm in the Evaluation System Of Enterprise |
|
Authors: |
Han Xiao-bing, Tian Yu-tong |
|
Affiliation: |
(Communication and Information Engineering College Xi’an University of Science
and Technology, Xi’an China) |
|
Abstract: |
In this paper, in order to solve the problem of intelligent test paper, the
author puts forward the improvement on chromosome coding, mutation algorithm and
genetic operators of genetic algorithm after the study of genetic algorithm in
theory and then proposes a multi-objective function optimization algorithm. By
experimental simulation, it is concluded that, compared with the ordinary
genetic algorithm, the average fitness value of the improved algorithm has
increased, moreover the average number of iterations and the time consumption
has reduced. What’s more, when the improved algorithm is applied to the
enterprise appraisal, it is proved by experiments that the advantage of low
repetition rate to realize the intelligent test paper, the success rate of test
paper was 100%, and the repetition rate is 0.9%. Thus the superiority of the
improved algorithm is reflected very well. |
|
|
|
|
Oral Session: |
CPT03-04 (Paper ID: 2389) |
|
Title: |
Discussion of the Design of Coal Quality Management System Test Based on
Specification |
|
Authors: |
Zhang Xiaoyan, Zhang Yuanyuan |
|
Affiliation: |
(College of Computer, Xi’ an University of Science and Technology, Xi’ an,
China) |
|
Abstract: |
As the business of coal quality management system deepens, its logical relations
and parameter settings are getting complicated constantly, making the testing of
this kind of system intensified obviously. This paper gives a brief introduction
to the definition, functions as the factors needed to be considered in the
designing process. Combined with the characteristics of coal quality management,
this paper analyzes in detail the application of four testing methods based on
specifications including cause and effect diagram method, path analysis method,
orthogonal matrix method and scenario analysis method, and also gives examples
for further explanation. |
|
|
|
|
Oral Session: |
CPT03-05 (Paper ID: 2408) |
|
Title: |
Research of Coal Quality Detection Management Information System in Coal
Enterprise |
|
Authors: |
Zhang Xiaoyan Kang Dan |
|
Affiliation: |
(College of Computer, Xi’an University of Science and Technology, Xi’an, China) |
|
Abstract: |
On the basis of deeply studying coal quality inspection management business
process, and combine with open source framework technology, we have designed a
coal quality detection management information system based on J2EE.The system
uses jxl report processing technology and vector graphics library Raphael, and
makes it easy for users to analyze the coal seam and coal quality visually. The
trial results show that the coal quality detection management information system
could have excellent stability and expandability and would have wide application
prospects in the information management of coal enterprise. |
|
|
|
|
Oral Session: |
CPT03-06 (Paper ID: 2571) |
|
Title: |
The Research on Network Performance Management System Based on SDN Technology |
|
Authors: |
Tang Lin, Wang Chao |
|
Affiliation: |
(Key Laboratory of Special Fiber Optics and Optical Access Networks Shanghai
University, Shanghai, China) |
|
Abstract: |
Network management plays an important role in improving the utilization ratio of
network unit, positioning and troubleshooting fault, optimizing the network
performance, ensuring network security and service quality. SDN (Software
Defined Networking) has brought new chances and challenges for the development
of network management technology. Thus, this paper has designed a network
performance management system based on SDN. SNMP4J class library is used to
develop network management system of the underlying application in this system. The data forwarding and controlling is
separated through the SDN technology, which realizes functions: the collection
and analysis of data, alarm and automatic control. Some test cases indicated
that this system has many advantages, such as intelligence, high reliability and
security, and so on. |
|
|
|
|
Poster 1: Communications and Computing, Mon 1400-1600, P1 |
|
Poster Session: |
Poster1-01 (Paper ID: 2495) |
|
Title: |
High Gain and Broadband Cylindrical Dielectric Resonator Antenna with Annular
Patch |
|
Authors: |
FENG Kui-Sheng1, LI Na1, MENG Qing-Wei1, WANG Yong-Feng2, |
|
Affiliation: |
(1Information and Navigation College, Air Force Engineering University, Xi’an
China 2School of Electronic and
Information, Northwest Polytechnical University, Xi’an China ) |
|
Abstract: |
A new high-gain cylindrical dielectric resonator antenna (DRA) with a large
bandwidth is proposed. A cylindrical dielectric resonator (DR), a double-annular
patch and a metallic cylinder are used to obtain a large bandwidth and a high
gain. The mode TM12 excited in the patch is used to enhance the gain of the DRA,
and the cavity formed by the metallic cylinder provides a further higher gain
and a larger bandwidth. The results demonstrate that the proposed DRA achieves a
large bandwidth of 23% from 5.4 to 6.8 GHz with VSWR less than two and a high
gain around 12 dBi. |
|
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Poster Session |
Poster1-02 (Paper ID: 2293) |
|
Title: |
Coherent Noise Jamming to De-chirping Radar |
|
Authors: |
Ning Tai , Hong Zhu, Yujian Pan, Chao Wang, Naichang Yuan |
|
Affiliation: |
(College of Electronic Science and Engineering National University of Defense
Technology, Changsha, China) |
|
Abstract: |
Repeater jamming has become an important
jamming type for countering coherent radar since it is proposed. In this paper,
a coherent noise jamming method based on interrupted-sampling and pseudo-random
sequence phase-modulation is proposed against de-chirping radar. The
characteristic of jamming signal is analyzed in detail and the processing
procedure of de-chirping radar is introduced. After De-chirping, multiple dense
false-targets are formed to protect the true target. Compared with non-coherent
noise jamming, this jamming signal is of much correlation with radar signal and
capable of obtaining processing gain. At last, some simulation results are
presented to validate the correctness and effectiveness of the jamming method.
With the ability of adapting to different radar signals and the simple structure
to be realized, this jamming idea shows some significance to engineering
implementation of jammer. |
|
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|
Poster Session |
Poster1-03 (Paper ID: 2578) |
|
Title: |
The Application of the Fractal Antenna in the BSN System |
|
Authors: |
Pang Xiaofeng, Luo Wuqiong |
|
Affiliation: |
(School of Electronic Engineering University of Electronic Science and
Technology of China, ChengDu, China) |
|
Abstract: |
In this paper, the performance of a loop-shaped fractal antenna in the BSN
system was studied. The feasibility of the application of this fractal antenna
in the BSN was discussed. The radiation patterns both in free-space and in
on-body environment of the suggested fractal antenna was compared. The radiation
pattern of the proposed antenna was compared with that of the loop antenna which
was considered as a typical antenna in BSN system. In time domain, the
Second-order Gaussian pulse response of the proposed antenna was measured. The
path loss for the on-body channel were studied and measured, the comparison
between the modelled and measured results was shown. From the study, the
proposed fractal antenna was suitable in the on-body UWB communication. |
|
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|
Poster Session |
Poster1-04 (Paper ID: 2244) |
|
Title: |
Predistorter Design for Nonlinear High Power Amplifiers with Multikernel
Adaptive Filtering |
|
Authors: |
Wei Gao Lingling Zhang Jing Han Jianguo Huang |
|
Affiliation: |
(School of Marine Science and Technology,
Northwestern Polytechnical University, Xi’an 710072, China) |
|
Abstract: |
Orthogonal frequency division multiplexing (OFDM) signals widely applied in
digital wireless communication systems inevitably suffers from the distortion
caused by high power amplifier (HPA) exhibiting output saturation
characteristics. In this paper, kernel adaptive filtering is designed as the
predistorter for separately compensating the nonlinearity of output amplitude
and phase resulting in adjacent channel inference and degradation of the
transmission performance. Simulation results show that the proposed predistorter
based on kernel adaptive filtering can effectively reduce the influence of
distor tionofHPAinordertoimprovethebiterrorrate(BER)performance. |
|
|
|
|
Poster Session |
Poster1-05 (Paper ID: 2315) |
|
Title: |
UWB Channel Estimation Based on
Compressed Sensing Using Dual-kernel Dictionaries |
|
Authors: |
Kai Dong, Shuai Yan, Xianglu Meng and Deqiang Wang |
|
Affiliation: |
(School of Information Science and Engineering, Shandong University, Jinan,
China) |
|
Abstract: |
Channel estimation is a key issue for ultra-wideband (UWB) wireless
communication systems. In this paper, we investigate UWB channel estimation,
where the emerging compressed sensing (CS) is used to bypass the difficulty
faced by Nyquist sampling. Particularly, we propose a couple of dual-kernel
dictionaries, namely cross-derivative dictionary (CDD) and
accessorial-derivative dictionary (ADD), to approximate the UWB signals
sparsely, where both the transmitted pulse shape and its derivative are used as
generating kernels. Extensive simulation results reveal that the proposed
dictionaries provide much sparser approximation than the conventional multipath
diversity based dictionary (MDD) and can be used to improve the channel
estimation precision effectively. |
|
|
|
|
Poster Session |
Poster1-06 (Paper ID: 2648) |
|
Title: |
Underwater Segmented Sparse Decomposition Ranging Method |
|
Authors: |
Zhang Yangmei, Tan Weijie |
|
Affiliation: |
(School of Marine Science and Technology Northwestern Polytechnical University,
Xi’an, China) |
|
Abstract: |
Sparse decomposition method can be used to reduce the noise and reconstruct the
underwater echo submerged in strong background noise. But if the distance
between sonar and underwater target is larger than the maximum detection range
of a given dictionary, this target will not be detected. Besides, if the target
is near the boundary of a given dictionary but in an off-grid situation, this
target will be detected with some errors. Aiming to solve the two special
situations mentioned above, this paper proposes a segmented sparse decomposition
ranging method based on Chinese Remainder Theorem (CRT). Firstly, two
dictionaries with the same range resolution but different detection ranges are
built up by time shift of continuous waveform (CW) functions. Then, the echo
signal is divided into two channels and segmented with two different time
windows. Based on the two predefined dictionaries, the segmented echo signals
are decomposed and the background noise is reduced. The relative distance of the
underwater target is obtained by let the reconstructed signals through matching
filter and find the peaks of the output. Finally, CRT is used to estimate the
real distance of the target. Simulation results verify the validity of the
proposed method. Its performance is superior to the traditional sparse
decomposition method when the target is located beyond the detection range of a
given dictionary or near the dictionary boundary but in an off-grid situation.
Moreover, method in this paper requires less storage space for the dictionaries
than the classical sparse method with the same range resolution. |
|
|
|
|
Poster Session |
Poster1-07 (Paper ID: 2308) |
|
Title: |
Research on the Methods of Underwater Vehicle Noise Source Identification |
|
Authors: |
WANG Qian, HOU Hong, Wang Hongwei, ZHANG Zhimin |
|
Affiliation: |
(School of Marine Science and Technology Northwestern Polytechnical University,
Xi’an, China) |
|
Abstract: |
In order to verify the feasibility of the noise source identification method for
underwater moving vehicle, an underwater sound source simulated test system was
designed, which is simple and practically easy to implement. In the reservoir
test, dynamic data were collected, which obviously have Doppler effect. The
performances of the Conventional Beamforming (CBF) and the Deconvolution
Approach for the Mapping of Acoustic Source (DAMAS) method which computes the
position of the moving sound source are compared and analyzed in the experiment.
The results show that the Direction of Arrival (DOA) deviation of both CBF and
DAMAS are less than 0.20. DAMAS has better performance and it is comparatively
more suitable for underwater vehicle noise source identification. |
|
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|
|
Poster Session |
Poster1-08 (Paper ID: 2261) |
|
Title: |
A 0.5-V Ultra-Low-Power Non-Coherent
Impulse Radio UWB Receiver |
|
Authors: |
Yuanfu Zhao, Wei Wu, Wu Wen, Weimin Li, Xunping Hou |
|
Affiliation: |
(Beijing Microelectronics Technology Institute, Beijing 100076, P. R. China) |
|
Abstract: |
A non-coherent 10Msps Ultra-Wideband (UWB) receiver using 3.1-5GHz pulse
position modulation (PPM) signaling is implemented in a 65 nm CMOS process. The
receiver is mainly comprised of low noise amplifier (LNA), squarer, integrator
and comparator. All RF and baseband circuits operate at 0.5-V power supply. The
chip area is 1.1mm× 1.0mm. Total power dissipation is 7.44mW and 0.8nJ/bit can
be achieved when data rate is 10Msps. |
|
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|
|
Poster Session |
Poster1-09 (Paper ID: 2265) |
|
Title: |
On the Performance of Full Duplex Cognitive Anti-jamming Receiver Impaired by
Phase Noise |
|
Authors: |
Fang Zheng1, Yiming Qian2, Haitao Li2 |
|
Affiliation: |
(1Science and Technology on Avionics Integration Laboratory, Shanghai, China
2College of Electronic Information and Control Engineering Beijing University of
Technology, Beijing, China) |
|
Abstract: |
In this paper, the performance of interference sensing of full duplex cognitive
anti-jamming (FCAJ) receiver impaired by phase noise in local oscillators is
investigated under fading channel. Firstly, energy detection based the
interference signal to noise ratio (INR) of FCAJ receiver with phase noise under
different channels is analyzed. Then, the detection and false alarm
probabilities in closed-form for FCAJ receiver are derived. Simulation results
show that the degradation of the INR due to phase noise is more severe than that
due to the channel. And the anti-jamming capability of wideband FCAJ receiver
with phase noise outperforms the narrowband receiver at the same operation
frequency bands. |
|
|
|
|
Poster Session |
Poster1-10 (Paper ID: 2451) |
|
Title: |
Downlink Partial Spectrum Sharing Scheme in Cognitive LTE-A Heterogeneous
Networks |
|
Authors: |
Zong-Heng Wei1, Bin-Jie Hu1*, Xiaohuan Li1, Xing Liu2 |
|
Affiliation: |
(1School of Electronic and Information Engineering South, China University of
Technology, Guangzhou, China 2ZTE
Corporation, Xi’an, China) |
|
Abstract: |
In order to handle the cross-tier interference problem and improve the
throughput of a long-term evolution advanced (LTE-A) heterogeneous network, we
propose a downlink partial spectrum sharing scheme using cognitive radio (CR)
technique. In this paper, radio resources are divided into three parts:
macro-dedicated portion, shared portion and femto-dedicated portion. Moreover,
we propose a mixed sharing scheme to share the resources in the shared portion
to meet the CR based spectrum sharing requirement of interweave paradigm.
Simulation result shows the proposed
scheme can get the best performance in terms of the throughput. Also we can see
the trend that the total throughput is increased with the increasing of FDP
Ratio when the cross-tier fair factor is decreased which reflect the resources
competition relationship between the macrocell and the femtocells. |
|
|
|
|
Poster Session |
Poster1-11 (Paper ID: 2496) |
|
Title: |
Joint Beamforming and Power Allocation in Cognitive Radio via Feedback |
|
Authors: |
Jun Bai1, Jing Wang1, Bin Yang2 |
|
Affiliation: |
(1Dept. Communication & Information Engineering, Xi’an University of Science and
Technology, Xi’an, China 2Dept. Information and Electronics |
|
Abstract: |
In this paper, joint beamforming and power allocation via cooperation feedback
and local feedback is considered in cognitive radio (CR) downlink where primary
user (PU) coexists with multiple secondary users (SUs). The objective is to
maximize the sum-rate of SUs while satisfying interference power constraint to
PU and the total transmission power constraint of SUs. To effectively mitigate
the interference to the PU, the zero-forcing (ZF) beamforming is designed at
secondary transmitter (ST) based on quantized feedback channel state information
(CSI). For power allocation, we introduce a game approach based on statistical
analysis of the quantization error and propose an iterative distributed
algorithm. Moreover, the existence of Nash equilibrium (NE) is analyzed.
Simulation results demonstrate the effectiveness of the proposed scheme. |
|
|
|
|
Poster Session |
Poster1-12 (Paper ID: 2436) |
|
Title: |
LLR Based Spatiotemporal Cooperative Spectrum Sensing Schemes for Cognitive
Radios |
|
Authors: |
Min Deng, Bin-Jie Hu |
|
Affiliation: |
(School of Electronic and Information Engineering South China University of
Technology, Guangzhou, China) |
|
Abstract: |
Most existing distributed soft combining spectrum sensing usually assume that
all sensing users either have the same signal-to-noise ratio (SNR) values of
primary user signal, or are independent of each other. But these assumptions are
not always applicable. In this paper, a distributed soft combing spectrum
sensing scenario with correlated cooperation users is considered. The secondary
users may have unequal SNR values. In order to alleviate the well-known
challenge of large amount of data reporting, two simple but effective local test
statistics derivation schemes by averaging power samples or logarithmic
likelihood ratios (LLRs) are proposed. Instead of sending all raw data,
cooperation users just send their finally averaged LLR values to the user in
need. In this way, the decision user can avoid estimating the covariance matrix
as well as the eigenvalue decomposition, and omit the reliance of prior joint
distribution of received signals, which is hard to get in this scenario.
Furthermore, by exploiting spatial sensing results, only part of users selected
according to three kinds of user selection rules rather than all need to send
their LLRs. The decision user adopts equal gain combining (EGC) or LLR-weighted
fusion to make the final decision. Simulations are carried out in three
different correlation scenarios to show the detection performance of proposed
cooperative spectrum sensing schemes. |
|
|
|
|
Poster Session |
Poster1-13 (Paper ID: 2437) |
|
Title: |
Contactless Signal Transmission for Industrial Bus at Rotary Joint |
|
Authors: |
Zhipan Wang1， Hao Gu2， Peide Sun1 |
|
Affiliation: |
(1Department of Information Science and Technology Donghua University，Shanghai,
China 2ABB Corporate Research Center，Shanghai, China) |
|
Abstract: |
In multi-actuator mechatronic and
distributed multi-sensor systems, signal transmission plays an important role
via rotary joint. Comparing with wireless communication, industrial bus is
preferred for real-time signal transmission due to its low latency. However,
industrial bus with cables at rotary joint suffers from limit free rotation,
frequent maintenance and complex routing. In this paper, a contactless signal
transmission (CST) system for industrial bus at rotary joint is proposed. In
particular, optical coupling is designed and evaluated via an air gap for
rotation motion at rotary joint. Logical strategies are proposed in signal
converter for bridging CAN bus with optical signal coupling. For experimental
verification, a developed CST system is implemented in a communication with two
motor drives via CAN bus. |
|
|
|
|
Poster Session |
Poster1-14 (Paper ID: 2326) |
|
Title: |
An Optimization Framework for Routing on Optical Network-on-Chips (ONoCs) from a
Networking Perspective |
|
Authors: |
Yawen Chen1, Haibo Zhang1 and Feiyang Liu1， Huaxi Gu2 |
|
Affiliation: |
(1Department of Computer Science, The University of Otago, New Zealand 2Key
Laboratory of ISN, Xidian University, China) |
|
Abstract: |
As increasing numbers of CPU cores are placed on single-processor chips,
conventional electronic interconnects for on-chip communications are becoming a
bottleneck, due to difficulties in meeting ever-increasing demands on throughput
and increasingly undesirable energy consumption. A potential solution is offered
by Optical Networks-on-Chips (ONoCs): an emerging communication architecture for
new generation multicore systems. Optical interconnection among cores at the
chip level can offer ultra-high communication bandwidth, low latency, and high
energy efficiency. This paper provides a brief review and sheds some insights on
the unique characteristics and constraints of ONoCs for designing efficient
routing schemes, especially from the networking perspective. Based on the
properties of ONoCs, we propose an optimization framework for routing and
wavelength assignment on ONoCs, which can be used to guide the upgrade from
un-optimized ONoCs to optimized ONoCs. This paper provides the insight and
guidance for high-level routing design in future research. |
|
|
|
|
Poster Session |
Poster1-15 (Paper ID: 2538) |
|
Title: |
A Fast Unambiguous Acquisition Algorithm for Sine-BOC Modulated Signals |
|
Authors: |
Yanbin Zhang1,2 , Weijun Lu2 and Dunshan Yu1 |
|
Affiliation: |
(1School of Electronic Engineering and Computer Science, Peking University, Beijing, China 2School
of Electronic Engineering, |
|
Abstract: |
The new Binary Offset Carrier (BOC) modulated signals, where the pseudo random
noise (PRN) code is multiplied with rectangular subcarriers, split the spectrum
symmetrically and reduce interference with existing navigation signals. In spite
of these benefits of the Autocorrelation Function (ACF) for BOC signals, e.g.
better multipath mitigation and sharper correlation main peak for better
tracking accuracy, its multiple secondary peaks cause ambiguity both in signal
acquisition and tracking. In this paper, we propose a new unambiguous
acquisition algorithm based on time division correlation (TDC) technique for
Sine BOC modulated signals. To evaluate the feasibility of the proposed scheme,
taking the BOCsin(1,1) as an instance, its acquisition performance is
investigated detailed. Numerical simulation results demonstrate that the
TDC-based code acquisition scheme works efficiently for sine BOC signal. It can
not only remove the ambiguity without any detection performance degradation, but
also reduce the acquisition computation complexity compared with traditional
methods. |
|
|
|
|
Poster Session |
Poster1-16 (Paper ID: 2361) |
|
Title: |
Physical-Layer Test of Coaxial Access Device in Protocol Mode |
|
Authors: |
Zhen Zhang, Xiaohui Duan, Daoxian Wang, Lingjin Rong, Jingjing Liu |
|
Affiliation: |
(School of Electronics Engineering and Computer Science Peking University,
Beijing, China) |
|
Abstract: |
HINOC (High Performance Network over Coax) is a coaxial cable access technology
used in tri-networks integration. To test and measure the physical-layer
performance of HINOC modem (HM), a protocol-mode approach including a specific
HINOC MAC layer and test script scheduler of HB is designed to change the status
and parameters of the HM during the test. Power, spectrum, modulation and
demodulation quality can be test with data flow on communication link. This
method can test HM’s performance of transmitter and receiver without any
modification to the HM, which has more advantages than the traditional
non-protocol physical-layer test approach. |
|
|
|
|
Poster Session |
Poster1-17 (Paper ID: 2525) |
|
Title: |
Underwater Chaos-based DS-CDMA System |
|
Authors: |
Xiujun Shu, Haibin Wang, Jun Wang |
|
Affiliation: |
(State Key Laboratory of Acoustics Institute of Acoustics, Chinese Academy of
Sciences, Beijing, China) |
|
Abstract: |
In this paper, an underwater chaos-based DS-CDMA system is proposed. This system
adopts a novel spreading sequence called chaotic phase modulation (CPM)
sequence. Comparing with conventional pseudo-noise (PN) sequences, CPM sequence
possesses series of advantages, such as higher security, much more quantity
available and smaller cross-correlation coefficient, etc. The bit error rate
(BER) is compared between CPM and M sequence under Additive White Gaussian Noise
(AWGN) channel. Simulation results show that CPM sequence behaves much better
BER performance especially in the case of large number of users. Besides, it
shows superior performance in time varying acoustic channels. Hence, the
proposed chaos-based DS-CDMA system has potential applications in confidential
underwater networks. |
|
|
|
|
Poster Session |
Poster1-18 (Paper ID: 2465) |
|
Title: |
Unknown Syndrome Calculation in Algebraic Decoding of a Class of Cyclic Codes |
|
Authors: |
Chong-Dao Lee1 ，Yan-Haw Chen2 |
|
Affiliation: |
(1Department of Communication Engineering， 2Department of Information
Engineering, I-Shou University，Kaohsiung) |
|
Abstract: |
Recently, two novel matrices whose some entries are not syndromes and other
entries are known syndromes have been presented to generate weak-locator
polynomials needed in decoding the ternary quadratic residue code of length 61.
This paper proposes a new unknown syndrome calculation for a class of cyclic
codes and a completely algebraic decoding of the (23, 11, 9) ternary quadratic
residue code up to actual minimum distance. For exactly four errors, the
decoding algorithm developed here has to use the unknown syndrome, which appears
in an entry of the above-mentioned matrix. The actual value of such an unknown
syndrome can be determined precisely by the ratio of two determinants of
matrices obtained from any one of the above-mentioned matrices. |
|
|
|
|
Poster Session |
Poster1-19 (Paper ID: 2521) |
|
Title: |
Behavior Model Analysis of Transceiver Characteristic Based on ADS Automatic
Control |
|
Authors: |
Chen Dan1, Li Kejun2, Yan Longda1, Ma Xiaofei1, Zhang Fangfang1 |
|
Affiliation: |
(1Xi’an Satellite TT&C Center, Xi’an, Shaanxi, P. R. China 2Beijing Institute of
Electronic Engineering, Beijing, P. R. China) |
|
Abstract: |
In electromagnetic compatibility prediction for complex system, such as
aircraft, the application of behavior level model analysis device transceiver is
a necessity. In view of the transmitter and receiver link simulation, the
article finds out the computing power spectrum and the common method of
intermediate frequency power using ADS. By modifying the AEL scripting language
of ADS, the automatic calculation was completed for the above processes, and
some commonly used behavior level design models were established. Finally, a GPS
receiver model case is given as an example to demonstrate the automatic control
process. |
|
|
|
|
Poster Session |
Poster1-20 (Paper ID: 2534) |
|
Title: |
A Compressed Sensing Sparse Channel Estimation Method for TDCS Based on Cyclic
Prefix |
|
Authors: |
SU Yuze, REN Qinghua, MENG Qingwei |
|
Affiliation: |
(Information and Navigation College Air Force Engineering University, Xi’an,
China) |
|
Abstract: |
Channel of transform domain communication system is always assumed to multipath
intensive channel or the channel state is already known, while when transform
domain communication system is in high-speed wireless transmission status, the
channel shows sparse multipath transmission characteristics. To make full use of
this characteristic, a compressed sensing sparse channel estimation method for
TDCS based on cyclic prefix is proposed. Firstly, a measurement matrix with weak
coherence is designed based on the transform domain communication system basis
function which has perfect autocorrelation characteristics, then an improved
orthogonal matching pursuit algorithm is proposed which can achieve accurate
sparse channel estimation value in condition of the prior information is
unknown. Both theory analysis and simulation results show that the new method
can improve the accuracy of sparse channel estimation of TDCS in COST207 rural
area channel model and get 3dB performance gain compared with the traditional
least square channel estimation method when the bit error rate is 0.002. |
|
|
|
|
Poster Session |
Poster1-21 (Paper ID: 2183) |
|
Title: |
Vehicles Recognition Based on the Size Characteristics and the CURE Clustering
Algorithm |
|
Authors: |
Yang Min, Yuhui Li |
|
Affiliation: |
(Information Engineering and Automation Information Engineering and Automation
Kunming University of Science and Technology, Kunming, China) |
|
Abstract: |
Vehicles identification has become a key issue to solve in intelligent
transportation systems. This paper proposes a method that takes the advantage of
vehicle template library and modified classification. The vehicle template
library was built based on CURE clustering algorithm. The experimental results
show that the proposed method has higher rate of recognition, the experimental
effect is obvious. |
|
|
|
|
Poster Session |
Poster1-22 (Paper ID: 2290) |
|
Title: |
3D Head Texture Using Multiple Kinect |
|
Authors: |
Chao Lai, Fangzhao Li, Shiyao Jin |
|
Affiliation: |
(School of Computer, National University of Defense Technology, Changsha, China) |
|
Abstract: |
Texture for 3D models is one important component of computer graphics. In this
paper, we propose a method for generating a coherent, integrated and seamless
texture on 3D head models. In the process, the color images and depth data
captured by Kinect are established a correspondence to build initial texture on
the head surface. Then the visible mismatching seams in the adjacent texture
regions are effectively removed by an iterative coarse-to-fine strategy,
resulting in an accurate aligned texture. In the following, the illumination
variations among different color images are eliminated by color fusion in
gradient domains. Finally, one texture is generated for the whole 3D head model
by non-texture repair. The experiments demonstrate that the coherent and
seamless texture method for 3D head is effective and robust. |
|
|
|
|
Poster Session |
Poster1-23 (Paper ID: 2596) |
|
Title: |
A GM-HMM Based Abnormal Pedestrian Behavior Detection Method |
|
Authors: |
Yibin Wang, Xuetao Zhang, Menglong Li, Peilin Jiang, and Fei Wang |
|
Affiliation: |
(Xi’an Jiaotong University, Xi’an, China) |
|
Abstract: |
Detection of abnormal behavior is an important area of research in computer
vision and is also driven by a wide of application domains, such as smart video
surveillance. In this paper, we propose an algorithm applied in video
surveillance for abnormal pedestrian behavior detection based on Motion-HOG and
GM-HMM. The basic idea of our method is to put the features extracted into HMM
to model the normal pedestrians’ pattern, while Motion-HOG has the advantage on
extracting pedestrians’ motion features and GM-HMM can model the pattern well
and truly. In our experiment, we compared different types of features and HMMs,
the results indicate that the method we proposed had the highest accuracy up to
0.837, which demonstrated the effectiveness of the proposed approach. |
|
|
|
|
Poster Session |
Poster1-24 (Paper ID: 2630) |
|
Title: |
A Visual-inertial Fusion Based Tracking for Mobile Augmented Reality |
|
Authors: |
Cheng Lin1,2, Lianghao Wang1,2, Dongxiao Li1,2, Ming Zhang1,2 |
|
Affiliation: |
(1College of Information Science and Electronic Engineering, Zhejiang
University, Hangzhou China 2Zhejiang Provincial Key Laboratory of Information
Network Technology, Hangzhou, China) |
|
Abstract: |
Recently, smart phones are usually equipped with cameras and motion sensors.
This means that mobile phones have become good platforms to deploy augmented
reality (AR) applications. We propose a new tracking system for AR which uses
inertial measurement units (gyroscope, accelerometer and magnetic field sensor)
combined with a camera to automatically detect and track a dominant plane in the
scene without prior knowledge about the environment. Meanwhile, it also
estimates the pose of the device, so the rendered virtual objects can be
correctly overplayed on the real view. While tracking the plane and computing
the camera pose with respect to the scene, the solution also needs to construct
and update the map of the scene, which consists of keyframes and keypoints in
our scenario. Finally, we implement our system and test its performance on
Android smart phones. Our experimental results show that the system can achieve
real-time and drift-free performance and the tracking is quite accurate and
robust. |
|
|
|
|
Poster Session |
Poster1-25 (Paper ID: 2657) |
|
Title: |
An Improve Moving Target Tracking Algorithm Based on CBWH |
|
Authors: |
Lu Yan, Guomin LI |
|
Affiliation: |
(Xi’an University of Science and Technology Xi’an, China) |
|
Abstract: |
Aiming at classic Mean Shift based on tracking algorithm can not track target
when the speed changed, the paper proposed an improved algorithm based on
corrected background weighted histogram(CBWH), the algorithm used two iterations
on target, first time used mean shift to iterate and calculated the similarity
coefficient, second iteration used twice the current frame center minus the
previous frame center as the center and calculated the similarity coefficient,
then comparing the two coefficients and choosing the bigger as the center to
track the target. Based on different scenarios of the experiment show that the
algorithm is compared with the original algorithm has better robustness and
accuracy |
|
|
|
|
Poster Session |
Poster1-26 (Paper ID: 2384) |
|
Title: |
The Application and Research of Embedded Web Server Technology in Smart Grid DTU |
|
Authors: |
Lin Lihua, Xie Xiufeng, Tang Shancheng, Zhao Anxin |
|
Affiliation: |
(School of Communication and Information Engineering Xi’an University of Science
and Technology, Xi’an, China) |
|
Abstract: |
In order to accelerate smart grid
development and promote distribution automation technology for large area
application, aiming at the problems of operational difficulties and poor share
about data existing in current C/S structure of distribution automation
terminal, a design of distribution automation terminal based on 3 layer B/S
schema embedded web server is put forward by researching and analyzing the
embedded Web services in this paper. Our design is able to solve the restriction
to distribution automation terminal operation and maintenance tools by
distribution automation terminal model. Meanwhile, system data sharing is
improved and unified operation and remote management are realized. Without
developing professional software, the design is simple and feasible with the
advantage of convenient maintenance and openness and platform crossing, which
can lead to operation and maintenance staffs’ better efficiency. |
|
|
|
|
Poster Session |
Poster1-27 (Paper ID: 2543) |
|
Title: |
The study of CDM-BSC-based Data Mining Driven Fishbone applied for Data
Processing |
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Authors: |
Zhang, Yun |
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Affiliation: |
(School of Computer Science & Technology Xi’an University of Science &
Technology, Xi’an, Shaanxi, P.R.China) |
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Abstract: |
Data Mining Driven Fishbone(DMDF), which
is whole a new term, is an enhancement of abstractive conception of
multidimensional-data flow of fishbone applied for data processing to optimize
the process and structure of data management and data mining. CDM-BSC(CRISP-DM
applied with Balance Scorecard ),which is developed from combination of
traditional Data Processing Methodology and BSC for performance measurement
systems. End-to-end DMDF diagram includes complex dataflow and different
processing component and improvements for numerous aspects in multiply
level.Balance Scorecard applied to CRISP-DM is a new methodology of improving
the performance of Information and Data Processing. CDM-BSC-based DMDF provides integrated
platform and mixed methodology to support the whole life cycle of data
processing with comprehensive methodology. Data preprocessing, data
Classification, Association rule mining and Prediction are the foundation and
linkage of the whole data processing life cycle. DMDF supports combination of
different mining component from strategy level, tactical level to abstractive
level, and then re-engineered data mining process into execution system to
realize reasonable architecture. CDM-BSC-based DMDF is a new direction of the
structure of large scale information and data processing. |
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Poster Session |
Poster1-28 (Paper ID: 2558) |
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Title: |
Application of Hybrid Ant Colony Algorithm for Mining Maximum Frequent Item Sets |
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Authors: |
Gao Ye, Tang Xiao-lan |
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Affiliation: |
(College of Computer Science and Technology Xi’an University of Science and
Technology, Xi’an, Shaanxi,China) |
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Abstract: |
In order to avoid the effect of initial pheromones for Ant Colony Algorithm when
solving practical problems, Ant Colony Algorithm and Genetic Algorithm are
integrated to mine maximum frequent item sets in this paper. First of all, this
paper introduces the ideas of Hybrid Ant Colony Algorithm and briefly explains
how to process the data of database. In the second place, Ant Colony Algorithm
and Genetic Algorithm are designed respectively, including the method of
encoding, parameters setting, the choice of evaluation function and so on.
Finally, the Hybrid Ant Colony Algorithm is compared with Max-Min Ant Colony
Algorithm (MMAS) on the issue of mining maximum frequent item sets. The results
show that the qualities of maximum frequent item sets mined by Hybrid Ant Colony
Algorithm are better than MMAS. |
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Poster Session |
Poster1-29 (Paper ID: 2647) |
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Title: |
LERD, A Locality Enhanced and Resemblance Based Deduplication Scheme for Large
Data Sets |
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Authors: |
Panfeng Zhang1, Ke Zhou2, Lingyu Yan2 |
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Affiliation: |
(1School of Computer Science and Technology, 2Wuhan National Lab for
Optoelectronics Huazhong University of Science and Technology, Wuhan, China) |
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Abstract: |
As one kind of storage technology, deduplicaition is widely deployed in all
kinds of storage systems. However, the key problems of duplication, such as data
throughput and usage of RAM, have not been perfectly addressed. Especially, with
the emergence of cloud storage, traditional deduplication methods are not able
to adapt to the velocity characteristic of the large data sets. This paper
proposes LERD, a temporal locality enhanced resemblance based Duplication
scheme, aiming at rapidly querying duplicated data for large scale data sets.
LERD takes advantage of data resemblance and temporal locality of data stream to
narrow query range, which not only rise throughput, but also decline usage of
RAM. Theoretical analysis and experimental results show that LERD's performance
is much better than other state-of-the-art schemes. |
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Poster Session |
Poster1-30 (Paper ID: 2195) |
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Title: |
Closed-loop Control in EMR Based on a BI System |
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Authors: |
Min Tao, Yu Wang, Yu Tian, Jing-song Li |
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Affiliation: |
(EMR and Intelligent Expert System Engineering Research Center of Ministry of
Education, Innovation Joint Research Center for Cyber-Physical-Society System, College of Biomedical Engineering and
Instrument Science, Zhejiang University,
Hangzhou, China) |
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Abstract: |
The BI system has been widely used in various fields, and the medical field is
no exception. Meaningful information can be mined out from massive data with a
BI system. However, how to use the discovered information and knowledge more
efficiently remains a question which needs to be solved. At the same time, how
to improve the interaction design of EMR is also a difficult problem. In this
paper, a closed-loop control scheme of Electronic Medical Records (EMR) based on
a BI System is developed to enhance the performance of Hospital Information
System (HIS), which provides a new idea to improve the interaction design of
EMR. InterSystem DeepSee is chosen as the BI tool, and is used on prescription
detail records. The ranking of drugs in EMR for certain doctor is optimized and
personalized based on his/her real-time pharmacy ranking. Thus illustrates the
important applications of a BI system to automatically control the EMR. In
addition, the applicability of drug ranking is verified. |
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Poster Session |
Poster1-31 (Paper ID: 2279) |
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Title: |
Aerodynamic Configuration Optimization for Hypersonic |
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Authors: |
Lin Cao, Dong ZHANG |
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Affiliation: |
(School of Astronautics, Northwestern Polytechnical University, Xi’an, China) |
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Abstract: |
By combining the strong global searching ability of particle swarm optimization
algorithm with the fast local convergence of genetic algorithm, a new hybrid
multi-objective particle swarm optimization algorithm based on genetic algorithm
is proposed in this paper. The geometry of HTV-2 is parameterized in terms of
conic control points and shape parameters. And the aerodynamic configuration is
optimized with respect to lift-to-drag ratio and volumetric efficiency. At last,
the optimization results indicate that the lift-to-drag ratio and volumetric
efficiency of the optimized configuration increase 11.43% and 37.59%
respectively comparing to the reference configuration. |
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Poster Session |
Poster1-32 (Paper ID: 2369) |
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Title: |
Design of Missile Autopilot Controller by Use of Optimized Fuzzy/PID Combined
Method |
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Authors: |
Tu Shijie, Chen Hang |
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Affiliation: |
(1.Northwestern Polytechnical University, Xi’an,China 2.Air Force Engineering
University, Xi’an,China) |
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Abstract: |
Since the fuzzy control does not depend on the accurate mathematical model of
the controlled device and has strong robustness, furthermore, PID controller
parameter can be changed conveniently and is simply in engineering realization.
The author designed a digitized missile autopilot controller bases on advanced
parameter self-adjusting and interpolation online by use of Fuzzy/PID combined
controlling means. The method of interpolation online is utilized to eliminate
quantization error and adjusting dead zone before table-lookup calculation of
fuzzy controller. The fuzzy and PID control is also part of the control process,
but their weight that participated in the control change according to the change
of the error. at last, By using Matlab simulation software and visual modeling
tool Simulink, build the simulation model of Fuzzy/PID controller, the
simulation result indicates that modified controlling means can get
high-precision trace command and has powerful capacity of resisting disturbance. |
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Poster Session |
Poster1-33 (Paper ID: 2606) |
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Title: |
Investigation of a CHP-EES based on Dymola |
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Authors: |
Xiangping Chen, Qinmu Wu, Zetao Li, Minhui Wang, |
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Affiliation: |
(Electrical Engineering School, Guizhou University, Guiyang, Guizhou, China) |
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Abstract: |
Due to both of energy and power benefits obtainable in hybrid electrical energy
storage system consisting of batteries and super capacitors, the past decade has
seen the rapid development of hybrid electrical system in different areas such
as hybrid electric vehicle, power quality and energy management. However, far
too little attention has been paid to how much efficiency can be achieved
providing hybrid electric energy storage (EES) is integrated into domestic
energy system. This paper proposes a stand-alone domestic energy system
consisting of generator, battery bank and super capacitor module. The objectives
of this research are to evaluate and validate the performance and improvement
with this optimized design in domestic application by comparing the proposed
system with a conventional stand-alone CHP system. |
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Poster Session |
Poster1-34 (Paper ID: 2659) |
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Title: |
An Ambiguity-Reduced Phase Unwrapping Method and its Applications in Parameter
Estimation |
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Authors: |
Yong Chen1,2, Fang Wang2, Jian-wei Wan1, Gang Li1, Ke Xu1 |
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Affiliation: |
(1College of Electronic Science and Engineering National University of Defense
Technology, Changsha, Hunan, P. R. China 2College of Physics and Communication
Electronics |
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Abstract: |
Over the past decades, many phase unwrapping algorithms have been developed and
formulated for overcoming the problem of phase ambiguity. In this paper, a novel
ambiguity reduced phase unwrapping method is proposed, which unwraps the linear
combined phases instead of the instantaneous phases, and thus substantially
reduces the degrees of ambiguity. It turns out that the ambiguity-reduce phase
unwrapping could be transformed to an optimization problem. Moreover, the
proposed unwrapping method has been applied to the estimation of the phase
parameter of a single-tone in additive Gaussian white noise. Computer
simulations show better capability of our proposed phase unwrapping approach
with the traditional unwrapping algorithm, that is, the signal-to-noise ratio
(SNR) thresholds of the proposed unwrapping method is much lower than that of
traditional algorithms. Meanwhile, the corresponding phase estimator, which is
based on the ambiguity-reduced phase unwrapping method, also outperforms the
phase estimators tested, achieving a performance that is consistently close to
the Cramer-Rao Bound (CRB) for all values of SNR. |
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Poster 2: Signal Processing, Mon 1620-1820, P2 |
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Poster Session |
Poster2-01 (Paper ID: 2663) |
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Title: |
Human Pulse Recognition based on Wavelet Transform and BP Network |
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Authors: |
Shiru Zhang， Qingfu Sun |
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Affiliation: |
(College of Communications and Information Engineering, Xi'an University of Science and
Technology, Xi'an, P. R. China) |
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Abstract: |
Pulse diagnosis is one of the most important methods in traditional Chinese
medicine diagnosis. In order to classify the human pulses effectively, feature
extraction and pattern recognition are needed. In this paper wavelet transform
is used to the feature extraction and the third layer wavelet energy and the
wavelet entropy values are selected as the wavelet domain features. Therefore a
new feature selection scheme is proposed, which combines wavelet domain
features, time domain features and frequency domain features. Firstly, three
kinds of features are extracted from a human pulse signal, and then the total 13
extracted features are fed to the BP neural network for pattern recognition. We
name this method WBPN. The proposed WBPN method is tested on 12 different kinds
of human pulse signals, and the average recognition rate of untrained test
samples reaches 98.45%, which is higher than most of the existing methods. The
results demonstrate the effectiveness of the proposed WBPN approach in human
pulse recognition. |
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Poster Session |
Poster2-02 (Paper ID: 2338) |
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Title: |
Image Registration Method Based on SURF and FREAK |
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Authors: |
WU Yanhai , ZHANG Cheng , WANG Jing， WU Nan |
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Affiliation: |
(School of Telecommunication and Information Engineering Xi’an University of
Science and Technology, Xi’an, China Department of Computer Science and
Technology |
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Abstract: |
This paper proposes a new method for image registration by combining SURF and
FREAK. SURF can extract robust feature points, and the topology of FREAK
descriptor has strong ability of regional description. First, feature points of
images are extracted by SURF, and described by FREAK descriptor. Then
descriptors are roughly matched through the ratio of the closest neighbor and
second closest one. Second, use RANSAC to eliminate the wrong matches. At last, the best transform parameters of
spatial geometric are obtained by least squares method. Experimental results
show that this method has a good matching result, and the speed of operation has
been further improved under the premise of ensuring registration accuracy. |
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Poster Session |
Poster2-03 (Paper ID: 2339) |
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Title: |
Solitary Oldies Abnormal Action Recognition Based on MEI |
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Authors: |
Wu Dongmei, Wang Li, Wang Jing, Liu Lingzhi |
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Affiliation: |
(School of Communication and Information Engineering Xi’an University of Science
and Technology, Xi’an, China) |
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Abstract: |
This paper presents a new method for identifying the abnormal action of the
solitary oldies which is based on video sequence. First, we use the background
subtraction and morphological filtering technology to extract the moving human
contour. Then, we extract the motion energy image (MEI) of the moving body
target, which is followed by extracting the Hu moments feature of human motion
energy image extracted. At last, we classify and identify the abnormal action by
using Bayesian classifier. Experiments demonstrate that the proposed recognition
method is simple and practical. It achieves the correct recognition rate of
daily behavior more than 92%. This method can also well identify the falling
action, its recognition result is more ideal, and has some great practical
value. |
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Poster Session |
Poster2-04 (Paper ID: 2341) |
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Title: |
Face Recognition Method Combined With Gamma Transform and Gabor Transform |
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Authors: |
Zhu dai-xian, Su Zhe, Wang jing |
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Affiliation: |
(Communication and Information Engineering College, Xi’an University of Science and
Technology, Xi’an, China) |
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Abstract: |
In order to extract facial features effectively, a face recognition method is
proposed in this article, which combined with gamma transform and gabor
transform on the basis of the traditional gabor filter method. First of all, the
face images are processed with gamma transform, which can eliminate the effects
of light and other nonlinear factors; and then decompose the face images by
improved gabor transform. After that, instead the original face of the 5 scale
and 8 orientations features of face images. At last extract M larger PCA(
principal component analysis ) characteristic on every Gabor feature matrix, and
get the final 5*8*M characteristics, which are combined to form the final face
identification feature. When tested in ORL faces database, the recognition rate
of this algorithm is 7.5% higher than traditional PCA method. |
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Poster Session |
Poster2-05 (Paper ID: 2356) |
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Title: |
Flame Detection Algorithms Based on Temporal-spatial Visual Saliency |
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Authors: |
Wu Dongmei, Yang Juanli, Li Baiping, Liu Xiaopei |
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Affiliation: |
(School of Communication and Information Engineering Xi’an University of Science
and Technology) |
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Abstract: |
Introduced the idea of visual saliency in computer vision, the model of flame
detection is proposed based on the temporal-spatial visual saliency. Firstly,
the Lab color space is obtained, then three channels (L、a、b) are segmented with
threshold and filtered in Gaussian. The grayscale integral projection method is
used to extract the brightness saliency of flame. Secondly, the flame region of
interest (FROI) is acquired by frame difference of flame color, and the region
is determined through dispersion and cumulative movement. Finally, the integral
saliency map of the current frame is formed by compositing color, brightness and
motion saliency. Experiments show that
the proposed model achieves better performance on flame detection than others
under different video scenes. |
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Poster Session |
Poster2-06 (Paper ID: 2375) |
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Title: |
Robust Face Tracking-By-Detection via Sparse Representation |
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Authors: |
Lei Shi, Yongli Zhu |
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Affiliation: |
(Department of Computer Sciences North China Electric Power University, Bao
Ding, China) |
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Abstract: |
The robust algorithm, which is used for tracking human faces in unconstrained
video, is built on Tracking-by-detection based on sparse representation. The
algorithm works by combining the advantages of face tracking and face detection
to improve the accuracy of tracking face in complex environment. The off-line trained face model fits input
image to detect face and online trained tracker localizes face via sparse
representation. Sparse representation makes human faces’ tracking more accurate
and robust by the generalized Haar-like features. Also, it will make our
tracking algorithm more adaptive and robust since it can be used for any
original signal, which means K-sparse can be omitted. The algorithm is validated
on a surveillance video considering complicated conditions, such as illumination
variation, pose changes, and so on. |
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Poster Session |
Poster2-07 (Paper ID: 2379) |
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Title: |
Target Tracking Algorithm Based on Particle Filter and Mean Shift under
Occlusions |
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Authors: |
Li Zhanli, Cui Leilei, Xie Ailing |
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Affiliation: |
(Xi’an University of Science and Technology, Xi’an, China) |
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Abstract: |
A new anti-occlusion method for object tracking is presented to solve the
problem that traditional visual tracking algorithms often deviate or lose the
targets under occlusion. The motion position of blocked object can be obtained
by the further iterative calculation of mean shift algorithm in the particle
filter tracking results when the target is occluded, and the approximation and
accuracy of tracking results are higher. The particle state of estimation and
the mean shift of iteration fused by object state can achieve reliable tracking
performance under occlusion and gain the optimal location of object.
Experimental results show that the method has strong robustness and
error-tolerance to occlusion of tracking objects, and has good performance under
complex background. |
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Poster Session |
Poster2-08 (Paper ID: 2476) |
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Title: |
An Illumination Insensitive Framework Using Robust Illumination Normalization
and Spectral Regression Kernel Discriminant Analysis for Face Recognition |
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Authors: |
Decheng Yang, Weiting Chen |
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Affiliation: |
(Software Engineering Institute East China Normal University, Shanghai, China) |
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Abstract: |
Recognition under uncontrolled lighting conditions remains one of the major
challenge for practical face recognition systems. In this work, we present an
efficient and effective framework to improve the recognition performance from
two aspects: image preprocessing and subspace representation. The step of image
preprocessing is mainly used to eliminate the effects of illumination. The step
of subspace representation is used for dimension reduction and further removing
the effects of illumination and expression. First, a novel and efficient image
preprocessing method based on rotation invariant LBP and gradient direction,
which we name “GDP-face”, is proposed to extract the illumination insensitive
face appearance, it can extract more discrimination information by adjusting the
parameters. Experimental results on Extended Yale B and PIE data sets show that
the GDP-face outperforms some compared state-of-the-art image preprocessing
methods. Second, we apply the Spectral Regression Kernel Discriminant Analysis
(SRKDA) which is an effective and efficient subspace learning algorithm to get a
more compact, robust, and discriminative feature descriptor. Experimental
results show that our framework is more efficient than some popular methods
based on Gabor features or Local Binary Patterns Histogram features, and achieve
a better performance than some state-of-the-art methods. |
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Poster Session |
Poster2-09 (Paper ID: 2483) |
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Title: |
A New Brain MRI Image Segmentation Strategy Based on Wavelet Transform and
K-means Clustering |
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Authors: |
Jianwei Liu Lei Guo |
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Affiliation: |
(School of Automation, Northwestern Polytechnical University, Xi’an, China) |
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Abstract: |
For the problem of low accuracy using K-means clustering algorithm to segment
noisy brain magnetic resonance imaging (MRI) images, this paper proposed a
strategy to improve segmentation accuracy. Firstly, the strategy uses wavelet
transform to brain MRI image denoising, secondly, brain MRI image is segmented
by k-means clustering algorithm. Experimental results show that the proposed
strategy can effectively improve the segmentation accuracy of the noisy MRI
brain image and is universal to some extent. |
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Poster Session |
Poster2-10 (Paper ID: 2514) |
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Title: |
Payload Mismatch Detection of Image Steganalysis Using Ensemble Linear
Discriminant Clustering |
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Authors: |
Anxin Wu， Guorui Feng |
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Affiliation: |
(School of Communication and Information Engineering, Shanghai University,
Shanghai, China) |
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Abstract: |
The contemporary method to image steganalysis assumes that steganalyzer must
know the steganographic method and payload of the inspected objects. But, the
payload of the suspicious objects generally unknown and if a steganalysis
detector trained on one embedding parameter is applied to images with a
different payload, generally the detection accuracy seriously drops due to the
mismatch between the embedding and detecting parameter. In this paper, we
propose a uniform detection model called ensemble linear discriminant clustering
(ELDC) for a more actual kind of steganalysis to determine the object whose
embedding parameter is unknown. We use stego images with any kind of embedding
rate to train the linear discriminant analysis (LDA) to obtain the
discriminative space in each random subspace, and than we use K-means to achieve
the clustering result of the testing set. The final class predictor is formed by
combining the clustering result over each base. We do not confirm the
decision-making threshold in the training phase, instead, utilize the
unsupervised K-means algorithm to determine the objects adaptively. Experimental
results on the MBs and nsF5 steganographic methods show that the developed
scheme can effectively defeat this type of mismatch. |
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Poster Session |
Poster2-11 (Paper ID: 2548) |
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Title: |
Optimal Parallel MRI Reconstruction over a Convex Solution Space |
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Authors: |
Ifat-Al Baqee1 and Cishen Zhang1, Xin Gao2 |
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Affiliation: |
(1Faculty of Science, Engineering and Technology Swinburne University of
Technology Hawthorn, Victoria 3122, Australia, |
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Abstract: |
In parallel magnetic resonance imaging (pMRI), to find a joint solution for the
image and coil sensitivity functions is a nonlinear and non-convex problem in
the existing literature. It is shown in this paper that, if only the magnitude
image is reconstructed, there exists a convex solution space for the magnitude
image and sensitivity encoded images. This enables formulation of a regularized
convex optimization problem and leads to a globally optimal and unique solution
for the magnitude image reconstruction. Its applications to in-vivo MRI data
sets result in superior reconstruction performance compared with other
algorithms. |
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Poster Session |
Poster2-12 (Paper ID: 2551) |
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Title: |
A Convenient Method for Semiautomatic Atrial Body Segmentation |
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Authors: |
Yang Guang, Fu Yifan, Wu Jian |
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Affiliation: |
(Institute of Biomedical Engineering Graduate School at Shenzhen, Tsinghua
University Shenzhen, China) |
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Abstract: |
This paper introduces an improved level set algorithm based on Chan-Vese (C-V)
models via reaction diffusion for atrial body segmentation. Before atrial body
segmentation, a set of methods are used to extract left atrium and left
ventricular as a preprocessing work. This set of method consists of the
following steps. First, a bilateral filtering operation is applied to remove
random noise caused by uneven contrast agent followed by an adaptive
thresholding method to extract left atrium and the connected issues. Second,
regional growth combined with active contour models are applied to extract left
atrium including left atrial appendage, pulmonary veins and left ventricular.
Clinical validation has been performed on 6 Multi-slice computed tomography
(MSCT) datasets. The proposed algorithm achieved an average overlap rate of
98.3% compared with the software Amira (Visage Imaging, Australia). It takes
about less than 3s for a 370×458 slice. The convergence speed of contour
evolution with the proposed improved level set algorithm via reaction diffusion
is nearly 5 times of the original C-V models. Besides, the proposed improved
level set algorithm can solve the singularity problem of the convergence process
effectively. |
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Poster Session |
Poster2-13 (Paper ID: 2589) |
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Title: |
Multi-class Classification using Support Vector Regression Machine Consistency |
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Authors: |
Wei Jia1, Junli Liang2, Miaohua Zhang3, Xin Ye1 |
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Affiliation: |
(1School of Automation and Information Engineering, Xi'an University of Technology, Xi’an,
710048, China 2School of Electronics & Information, |
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Abstract: |
Traditional Support Vector Regression (SVR) Machine acts as approximating a
regression function. This paper, however, proposes a novel multi-class
classification approach based on the SVR framework, called Support Vector
Regression Machine with Consistency (SVRC). The contributions of this paper are:
(1) To implement multi-class classification task, we replace the margin term
with its l1 norm in the SVR framework; (2) To make the training data within the
same class possess approximate contributions for the test sample reconstruction
and thus improve the robustness, we construct a consistent matrix employing the
class information and introduce the penalty term using it; (3) To pay more
attention to using fewer possible classes to represent the test sample, and thus
improve the accuracy of the test sample reconstruction, we utilize the
corresponding local neighborhood relationship of the test sample to design a
selection matrix. Experimental results demonstrate that the performance of the
proposed method is much better than that of some existing multi-class
classification approaches. |
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Poster Session |
Poster2-14 (Paper ID: 2593) |
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Title: |
Gait Recognition Based on Gait Energy Image and Linear Discriminant Analysis |
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Authors: |
Xue Hongye, Hao Zhuoya |
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Affiliation: |
(Xi’an University of Science and Technology, Xi’an, China) |
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Abstract: |
Aiming at the low rate of human gait recognition and other issues, a novel gait
recognition based on gait energy image and linear discriminant analysis is
proposed in this paper. Firstly, using background subtraction to segment
contours of human body,then a gait cycle is computed with the change of body
silhouette width; Secondly, using the images in gait cycle sequences to
calculatethe gait energy image (GEI); Finally, principal component analysis
(PCA) and linear discriminant analysis (LDA) are used to extract the main vector
of gait feature, the nearest neighbor classifier is selected for classification
and identification.The experimental results indicate that our method can improve
the recognition rate effectively on CASIA gait database. |
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Poster Session |
Poster2-15 (Paper ID: 2601) |
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Title: |
Comparative study of feature dimension reduction algorithm for high-resolution
remote sensing image classification |
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Authors: |
Li Shijin，Li Huimin |
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Affiliation: |
(College of Computer and Information, Hohai University, Nanjing, China) |
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Abstract: |
The high-resolution remote sensing image classification is an important research
topic in pattern recognition, and its computational complexity grows
exponentially with the increases of the dimension. Hence, it is necessary to
perform feature dimension reduction. This paper presents a comparative study on
state-of-the-art feature selection and feature transformation methods for the
task of high-resolution remote sensing image classification. We conduct a group
of experiments on mRMR, PCA and KPCA for their applicability. Comparison results
show that nonlinear dimension reduction method based on feature transformation
is more suitable for the task at hand. What’s more, appropriate kernel function
and kernel parameters are also essential. It is vital to reduce the dimension,
which can alleviate the computational cost greatly and improve accuracy. |
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Poster Session |
Poster2-16 (Paper ID: 2625) |
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Title: |
A Geometric Constrainted HCRF for Object Recognition |
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Authors: |
Yingtuan Hou1, Xuetao Zhang2 |
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Affiliation: |
(1AVIC Xi’an Flight Automatic Control Research Institute, Xi’an, China 2Institute of AI and Robotics |
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Abstract: |
In the present paper, a discriminative model for object recognition based on the
Hidden Conditional Random Fields (HCRF) model is proposed. It impose the
constraints on the positions of object parts with a star shape spatial prior.
The proposed model can learn the ideal locations of parts, but also their
spatial extent. Actually, the added constraints refine the assignment of part
labels to local patches. Thus, our model can take advantage of appearance
features and geometric structures in recognizing object. Efficient inference and
parameter learning approaches are developed to handle the extra hidden variables
(i.e. the positions of parts). Experiment results demonstrate the proposed model
perform better than original HCRF model. |
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Poster Session |
Poster2-17 (Paper ID: 2631) |
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Title: |
Superpixel Regions Extraction for Target Detection |
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Authors: |
Yingjia Wu, Gongjian Wen, Feng Gao, Yaxiang Fan |
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Affiliation: |
(Science and Technology on ATR Lab National University of Defense Technology,
Changsha, Hunan, China) |
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Abstract: |
In this paper, an algorithm of target region detection is proposed based on
superpixel segmentation in the field of computer vision which is imported to
high-resolution remote sensing images for superpixel-level rather than
pixel-level target detection. For the problem of massive data, redundant
information and time-consuming targets searching of high-resolution remote
sensing images with complex scene and large size, the region of interest (ROI)
extraction strategy based on a visual saliency map detection is adopted. Second,
the multi-dimensional description vector of local feature is constructed via
superpixels obtained from simple linear iterative clustering (SLIC). Third,
combine with the prior information of the target to determine the threshold of
feature, from which we select the candidate superpixels belong to target.
Experimental results show that the proposed algorithm is more effective in
high-resolution remote sensing images, overcoming the situation of complex
background interference and robust to the target rotation. In addition, the
proposed algorithm performs favorably against the traditional sliding windows
search algorithm. On one hand, significantly reduces the computing complexity of
the search space, and achieves the data dimensionality reduction. On the other
hand, it brings lower false probability and improves the detection accuracy. |
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Poster Session |
Poster2-18 (Paper ID: 2649) |
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Title: |
An Accelerated Momentum Based Gradient Projection Method for Image Deblurring |
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Authors: |
Ge Ma, Yueming Hu, Hongxia Gao |
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Affiliation: |
(Engineering Research Center for Precision Electronic Manufacturing Equipments
of Ministry of Education School of Automation Science and Engineering South
China University of Technology, Guang Zhou, China) |
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Abstract: |
Linear inverse problems (LIP) have been widely employed in wavelet-based image
deblurring problems. The standard way is to minimize L2-L1 norm by gradient
descent search in the solution space, which is typically suffered from poor
convergence and unwanted local optima. In this paper, an accelerated image
deblurring method is proposed by using momentum based gradient search scheme
combined with the projected step technique. By adding a momentum term to the
typical negative gradient direction, iterative steps will be effectively
enlarged in favorable directions and some specific local optimal points can be
avoided. Experiment results demonstrate that the proposed method outperforms its
competitors, both in time efficiency and image restored quality. |
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Poster Session |
Poster2-19 (Paper ID: 2653) |
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Title: |
Color Cast Detection for Surveillance Video Based On Additive And Subtractive
Color System |
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Authors: |
Ping Yang1,2, Li Chen1,2, Jing Tian1,2 |
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Affiliation: |
(1School of Computer Science and Technology,
2Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, |
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Abstract: |
To tackle color cast detection challenge, a new approach is proposed in this
paper to detect color cast and estimate the extent of color cast using additive
and subtractive color system. First, the proposed approach calculates bright and
dark information and extreme intensity ratio, and then determines the type of
bright and dark information according to extreme intensity ratio. Finally, the
proposed approach determines color system type and cast variation channel, and
estimates the extent of color cast using extreme intensity ratio and difference
intensity. Experimental results show that the proposed approach is reliable and
effective, as well as consistent to human's subjective evaluation. |
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Poster Session |
Poster2-20 (Paper ID: 2569) |
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Title: |
Cycle Spinning Dual SAR Image Denoising |
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Authors: |
Fei Zhang1, Baosheng Kang1, Hongan Li2, Lei Zhang1, Benting Liu1, |
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Affiliation: |
(1School of Information Science and Technology,
Northwest University, Xi’an Shaanxi 710127, China 2College of Computer
Science and Technology, |
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Abstract: |
SAR image denoising has been an active research topic. Some image denoising
methods have been implemented in both spatial and transform domains. Although
state-of-the-art denoising methods are numerically impressive, they produce
Gibbs-like phenomenon. To solve this problem, we proposed a SAR image denoising
algorithm, which is based on dual-domain image denoising (DDID) and
cycle-spinning algorithm. The proposed approach tries to change the relative
position of singularity point in an image, to find the average spinning within a
specific range and to smooth the artifacts due to the Gibbs-like phenomenon.
Compared with DDID and wavelet method, the denoised SAR images of the proposed
algorithm are smoother and have much fewer man-made textures. |
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Poster Session |
Poster2-21 (Paper ID: 2190) |
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Title: |
A New Coherent Integration Structure Based on Auto-correlation in CW Radar |
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Authors: |
Jiacheng Chen, Shunlian Chai |
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Affiliation: |
(National University of Defense Technology, Changsha,China) |
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Abstract: |
The continued wave Radar is prior to the pulsed Radar in the short-range
detection for its accuracy and low power. However, the detection range of CW
Radar is short and it is worthy to improve the ability of its measurement. In
this paper, we draw lessons from the coherent integration used in pulsed Radar
and design a new coherent integration structure used in CW Radar based on
auto-correlation function. We analysis the structure theoretically and make some
simulation at the end of the paper. The simulation shows that the structure can
accumulate targets signal coherently and the SNRI can reach 10log(M)dB, where M
is times of integration. |
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Poster Session |
Poster2-22 (Paper ID: 2238) |
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Title: |
Sampling of Signals with Finite Rate of Innovation in Parameter Space |
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Authors: |
Zelong Wang and Jubo Zhu |
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Affiliation: |
(Department of Mathematics and System Science National University of Defense
Technology, Changsha, China) |
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Abstract: |
We consider the sampling of signals with finite rate of innovation (FRI) in
parameter space to reach the minimal sampling rate. Although the sampling of
signals with unknown time locations has been treated in previous works, it is
difficult to sample the signals with unknown parameters in other parameter
space. In this paper, we redefine the signal with FRI and propose a general
framework of the FRI sampling. In addition, we design several different sampling
schemes, including the single channel sampling, the multichannel direct sampling
and the multichannel mixing sampling, to improve the sampling robustness and
decrease the analog-to-digital (AD) conversion rate. By the discussions in the
numerical experiment, we also show the signal with unknown parameters in
time-frequency space can be sampled and reconstructed from the minimal-rate
samples. |
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Poster Session |
Poster2-23 (Paper ID: 2240) |
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Title: |
Proportionate Improved Normalized Subband Adaptive Filter Algorithm for Highly
Noisy Sparse System |
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Authors: |
Yi Yu, Haiquan Zhao |
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Affiliation: |
(School of Electrical Engineering, Southwest Jiaotong University, Chengdu,
China) |
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Abstract: |
In order to speed up the convergence of the recently-presented improved
normalized subband adaptive filter (INSAF) algorithm in sparse systems, this
paper derives its proportionate update based on the concept of the Riemannian
distance between the tap-weight vectors. Also, together with the previous
improved method of calculating the proportionate matrix, an improved
proportionate INSAF (IP-INSAF) algorithm is obtained. Simulation results, in the
context of acoustic echo cancellation with a low signal-noise-ratio (SNR),
demonstrate the superiority of the proposed algorithm for sparse systems. |
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Poster Session |
Poster2-24 (Paper ID: 2330) |
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Title: |
Image denoising based on steepest descent OMP and K-SVD |
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Authors: |
Xiangyu Deng, Zengli Liu |
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Affiliation: |
(Faculty of Information Engineering and Automation KunMing University of Science
and Technology Kunming, China) |
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Abstract: |
Noise suppression is one of the key problems in image processing. In recent
years, sparse representation theory is applied in image denoising successfully.
The primary idea is to denoise an image via over-complete dictionary trained by
K-SVD algorithm based on OMP (Orthogonal Matching Pursuit) algorithm. This
method receives good performance on the quality of image denoising but slow
computation speed because of high computational complexity. In order to speed up
the computation while keeping image quality, this paper discusses a denoising
method via the adaptive over-complete dictionary trained from noisy image using
improved K-SVD algorithm and the steepest descent OMP algorithm. In this work,
we replace OMP with the steepest descent OMP. Simulation results show this
method leads to a better balance between denoising quality and the computation
speed, and can improve performance than other methods. The PSNR values are used
to measure the denoising quality, and it has been proven the PSNR values can be
increased by our method meanwhile the running time can also be reduced to some
extent. |
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Poster Session |
Poster2-25 (Paper ID: 2446) |
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Title: |
Acquisition Method of Loran-C Signal Based on Matched Filter |
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Authors: |
Yuanyuan Gao1,2,3, Yu Hua13 , Shifeng Li1,3, and Chaozhong Yang1,2 |
|
Affiliation: |
(1National Time Service Center, Chinese Academy of Sciences, Xi’an, Shannxi,
China 2University of Chinese Academy of Sciences, Beijing, China 3Key Laboratory
of Precision Navigation and Timing Technology, Xi’an, Shannxi, China) |
|
Abstract: |
A novel acquisition method of the Long-range navigation (Loran)-C signal based
on matched filter is proposed to improve the acquisition performance of Loran-C
signal under heavy noise environment. Higher signal to noise ratio (SNR) could
be obtained through matched filtering the received signals. Then outputs are
correlated with standard pulse signal and the correlation peaks are judged.
Theoretical analysis and simulation experiments show that the proposed method
can eliminate the noise effectively, the anti-noise performance is superior to
-20decibel (dB) , improving about 10dB compared with the traditional methods,
and higher acquisition processing gain is obtained, while its implementation is
simple. It has important significance for designing digital Loran-C receiver. |
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Poster Session |
Poster2-26 (Paper ID: 2462) |
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Title: |
A New Proportionate Normalized Least Mean Square Algorithm for High Measurement
Noise |
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Authors: |
Yinxia Dong, Haiquan Zhao |
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Affiliation: |
(School of Electrical Engineering, Southwest Jiaotong University, Chengdu,
China) |
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Abstract: |
In this paper, we derive a new improved proportionate normalized least mean
square (IPNLMS) algorithm with unconventional minimization criterion that
minimizes the summation of each squared Euclidean norm of difference between the
currently updated coefficient vector and past coefficient vectors, which is
called the improved IPNLMS (I- IPNLMS) algorithm. Simulation results demonstrate
that the proposed I-IPNLMS algorithm has the superiority of the lower
misalignment than the conventional IPNLMS algorithm in the context of sparse
system identification with a low signal-noise-ratio (SNR). |
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Poster Session |
Poster2-27 (Paper ID: 2537) |
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Title: |
Faulty Line Detection for Distribution Network Based On Mathematical Morphology |
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Authors: |
Ruowei Li, Zengli Liu |
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Affiliation: |
(Faculty of Information Engineering and Automation, Kunming University of
Science and Technology, Kunming, Yunnan, China) |
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Abstract: |
The single-phase grounding fault is the most common fault in the distribution
network of resonant grounding. By analyzing the algorithm of arc suppression
coil grounding, this paper presents a comprehensive selection algorithm based on
mathematical morphology. The proposed algorithm carries out filters
preprocessing of the line selection data by using two parallel composite
structural elements morphological filters. Then, a method that combines
morphological spectrum analysis and morphological peak and valley detection is
applied to detect the fault. Results gained from verifying the algorithm by
using MATLAB show that when a single-phase grounding fault occurs in the
distribution network, this kind of algorithm is not affected by the system
operation mode, time and distance of the fault, transition resistance, and the
fault inception angle, which in turn proves that the algorithm has high
anti-interference capability, adaptability and reliability. |
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Poster Session |
Poster2-28 (Paper ID: 2562) |
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Title: |
Analysis Of Gravity Tide Signal Based on ICA With PSO |
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Authors: |
Qiaoyan Li，Haiyan Quan |
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Affiliation: |
(Institute of Information Engineering and Automation Kunming University of
Science and Technology, Kunming, China) |
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Abstract: |
Independent Component Analysis (ICA) is used to separate the relatively
independent signals from the source. Gravity tide signal is a mixed signal which
is caused by the moon and the sun, so ICA is applied to separate gravity tide
signal in this paper. Because of the slowly convergence speed and local search
for the target in ICA, Particle Swarm Optimization which could find target
globally and quickly is proposed to search the optical target in ICA. Simulation
results show that the method proposed in this paper solves the problem presented
in ICA and separates gravity tide signal into three parts. Every part represents
the signal which is corresponding to the theory frequencies of the harmonic
component in gravity tide signal. So the method proposed in the paper can divide
the signal into three parts which is corresponding to harmonic component
automatically. |
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Poster Session |
Poster2-29 (Paper ID: 2572) |
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Title: |
An Improved Gabor Wavelet and Its Complete Transform |
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Authors: |
JI zhanhuai1,2, YAN Shenggang1, BAO Jinqing3 |
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Affiliation: |
(1College of Marine, Northwestern Polytechnical University, Xi’an, Shaanxi,
China; 2College of Science, Xi’an University of Science and Technology, Xi’an,
China 3Department of Petroleum and Natural Gas, |
|
Abstract: |
An improved Gabor wavelet is proposed in this paper, of which the two parameters
have clear physical meanings. Among two parameters, the frequency parameter is
the center of symmetry of the wavelet’s amplitude spectrum and equal to the
central frequency of the wavelet’s frequency window. The resolution factor
parameter can adjust the support interval of the wavelet’s frequency spectrum
function and the time-frequency resolutions of the wavelet function. Also,
improved Gabor wavelet maps signals from a time domain to a time-frequency
domain rather than the time-scale domain. Moreover, an inverse of this improved
Gabor wavelet’s transform is proposed. Especially, this inverse transform can
realize lossless signal reconstruction without the requirement for Gabor wavelet
to satisfy the admissible condition. Finally, this paper discusses differences
between Gabor wavelet complete transform and S transform, and verifies them by a
real application. |
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Poster Session |
Poster2-30 (Paper ID: 2573) |
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Title: |
On Equivalence of l1 Norm Based Basic Sparse Representation Problems |
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Authors: |
Rui Jiang1, Qiao Hong1, Bo Zhang2 |
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Affiliation: |
(1 Institute of Automation, CAS, Beijing, P.R. China 2LSEC and Institute of
Applied Mathematics, AMSS, CAS, Beijing, P.R. China) |
|
Abstract: |
The l1 norm regularization problem, the l1 norm minimization problem and the l1
norm constraint problem are known collectively as the l1 norm based Basic Sparse
Representation Problems (BSRPs), and have been popular basic models in the field
of signal processing and machine learning. The equivalence of the above three
problems is one of the crucial bases for the corresponding algorithms design.
However, to the best our knowledge, this equivalence issue has not been
addressed appropriately in the existing literature. In this paper, we will give
a rigorous proof of the equivalence of the three l1 norm based BSRPs in the case
when the dictionary is an over-completed and row full rank matrix. |
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Poster Session |
Poster2-31 (Paper ID: 2617) |
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Title: |
Auto-encoder Based Modeling of Combustion System for Circulating Fluidized Bed
Boiler |
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Authors: |
Yan Yiru, Ge Yinghui, Xu Jianyu |
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Affiliation: |
(Faculty of Electrical Engineering and Computer Science Ningbo University,
Ningbo, China) |
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Abstract: |
Deep learning attracts the interests of many researchers. Multidimensional
algorithms require large data storage space.
This paper proposes a modeling of the combustion system used for
Circulating Fluidized Bed Boiler (CFBB), which is based on the method of
auto-encoder of deep learning. The 20 dimensional input samples set is the input
layer, and then the units of hidden layer are calculated. The data dimension is
reduced through the auto-encoder, further, these data are as input of the RBF
network. The modeling is carried out by the Radical Basis Function (RBF) neutral
network. Compared with traditional methods, the auto-encoder is suitable for
modeling. The samples are greatly reduced for the subsequent work. Numerical
results provided in this paper validate the proposed model and method, as well
as the validity of the conversion from the auto-encoder strategy. |
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Poster Session |
Poster2-32 (Paper ID: 2246) |
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Title: |
Designing Optimal Sparsifying Dictionary Using First Order Series Expansion |
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Authors: |
JiaHui Ye, Xiao Li, QianRu Jiang |
|
Affiliation: |
College of Information Engineering, Zhejiang University of Technology 310014
Hangzhou, Zhejiang, P.R. China |
|
Abstract: |
Abstract—Dictionary learning aims to represent a given signal database Y as a
product of a dictionary D and a sparse coefficient matrix X, as follows, Y ≃ DX
with a sparseness constraint onX. Some existing dictionary learning methods,
like MOD, KSVD,minimize the representation error, resulting a non-convex cost
function, SBJ applied a first order series expansion for the product DX
resulting a convex cost function, but is a poor approximation to the original
cost function. In this paper, we propose a new measure to make sure the
approximation is more accurate, and a closed-form solution is derived to solve
the resulting problem. Simulation shows that our proposed algorithm outperforms
the exiting ones at a price of computational load and convergence rate. |
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Poster Session |
Poster2-33 (Paper ID: 2320) |
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Title: |
An AUV Positioning Error Correct Algorithm Based on Acoustic Propagation Time
Compensation |
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Authors: |
CHEN Jian-hua, ZHU Hai, GE De-hong, GUO Zheng-dong |
|
Affiliation: |
(Navy Submarine Academy, Qingdao, China) |
|
Abstract: |
In allusion to positioning error for underwater vehicle, the INS/multi-beacons
acoustic range measurements integrating method is proposed. The error result
from vehicle motion and acoustic propagation time is mainly analyzed, and a
correcting positioning error algorithm based on acoustic propagation time
compensation is presented. In this algorithm, the EKF is adopted, and the
measurement equation is reconstructed via pushing-forward the INS’s position
error states. As a result, the measurement equation and the system measurement
become synchronous, and the error from time delay is eliminated. The simulation
results indicate that the algorithm can significantly improve the accuracy of
correcting INS positioning error with INS/multi-beacons acoustic range
measurements integrated navigation system. |
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Poster Session |
Poster2-34 (Paper ID: 2404) |
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Title: |
B Formal Modeling Based on UML Class |
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Authors: |
Tao Li, Fengsheng Jia |
|
Affiliation: |
(Dept. of Mechanical Engineering Northwestern Polytechnical University) |
|
Abstract: |
We chose class diagram as the UML model to be formalized by B specification,
building the domain model to extract metaclass as a basic unit. According to the
source of attributes, we classify them into inline attribute and associated
attribute, and discuss the formal methods under different situations. Analyze
association, the construction of associated class, and their formal methods.
Comparing the class operation and the operation of abstract machine, we put
forward the layered methods to formalize the operation. At last, we show the
layered structure of formalization for UML static model. |
