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Modified Capon approach with adaptive weighted for discriminating strong and weak signals

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics 2013年第5期35卷 905-908页

作者： He, Shun Yang, Zhi-Wei Zhang, Juan Xu, Qing Key Lab of Radar Signal Processing Xidian University Xi'an 710071 China Communication and Information Engineering College Xi'an University of Science and Technology Xi'an 710054 China

The special spectral estimation using Capon approach can be achieved by measuring the genera-lized inner product (GIP) value between each search steering vector and the correlation matrix (CM). Therefore, the CM deviation, which is induced by the secondary data number is comparable with the sensor number and the power of one signal is much stronger than that of the others, will deteriorate the performance of Capon algorithm. To alleviate the performance degradation, a new modified Capon method is presented. Firstly, the CM is estimated with iterative approach which effectively relieves the requirement of a large number of training samples. Secondly, a modified correlation matrix at each search steering vector to calculate the GIP value is employed. Finally, the spatial spectrum can be obtained as weighted Capon spectrum with the GIP value. The high-resolution property of Capon approach is remained, meanwhile the robustness against small sample support and strong and weak signal coexistence is also enhanced. Theoretical analysis and numerical simulation indicate that its performance is better than that of Capon.

关键词： Spectrum analysis

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Multi-objects classification via optimized compressive sensing projection

Multi-objects classification via optimized compressive sensi...

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9th International Conference on Information, Communications and signal processing, ICICS 2013

作者： Yu, A.H. Bai, H. Jiang, Q.R. Zhu, Z.H. Huang, C.G. Li, G. Hou, B.P. Zhejiang Provincial Key Laboratory for Signal Processing College of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang 310023 China School of Automation and Electrical Engineering Zhejiang University of Science and Technology Hangzhou Zhejiang 310023 China

ISBN: (纸本)9781479904341

The theory of compressive sensing (CS) enables the reconstruction of a sparse signal from highly compressed data. However, in many applications, we are ultimately interested in information retrieval rather than signal reconstruction. In this paper, we study the problem of multi-objects classification in compressive sensing systems. Theoretical error bounds are derived based on the analysis of classical compressive classification. The optimal projection matrix design problem is studied and an algorithm is derived to solve the corresponding problem. Application in the identification of license plate numbers is considered and simulation results show that the projection measurement obtained using the proposed algorithm significantly improve the classification performance in terms of classification error rate. © 2013 IEEE.

关键词： Compressed sensing

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Azimuth Scaling for Inverse Synthetic Aperture radar Images with Feature Registration

Azimuth Scaling for Inverse Synthetic Aperture Radar Images ...

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International Congress on Image and signal processing

作者： Zhiwei Xu Lei Zhang Mengdao Xing National Key Lab of Science and Technology on Radar Signal Processing Xidian University Xi'an P. R. China

ISBN: (纸本)9781479927654

This paper proposes a novel azimuth scaling algorithm for estimating the relative rotation angle of two continual say sub-aperture inverse synthetic aperture radar (ISAR) images of a rigid space ISAR target by using a feature registration of coordinate locations of interested points extracted from the images above. Specifically, we firstly extract sufficient interested points and feature descriptor vectors from two sub-aperture ISAR images by Scale Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF). The interested points are then matched by using the feature registration in a two-stage manner based on Euclid-Distance and Random Sample Consensus (RANSAC). A premise to the azimuth scaling for ISAR images, the rotation angle can be estimated by precisely linking the coordinate locations of the matched interested points, followed by a determination of the least value of a cost function to achieve the azimuth scaling for measuring the real size of the target. Simulated and real data experiments validate the proposal.

关键词： radar signal processing Image Registration Inverse Synthetic Aperture radar (ISAR) Space Rigid Target Rotation Angle Estimation Azimuth Scaling image registration Inverse synthetic aperture radar Synthetic aperture radar azimuth radar signal processing images Scale formation radar images ROTATION ANGLE

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HYBit: A hybrid taint analyzing framework for binary programs

HYBit: A hybrid taint analyzing framework for binary program...

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4th International Conference on Advances in Swarm Intelligence, ICSI 2013

作者： Zhu, Erzhou Guan, Haibing Liang, Alei Xu, Rongbin Li, Xuejian Liu, Feng Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230601 China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9783642387142

For the purpose of discovering security flaws in software, many dynamic and static taint analyzing techniques have been proposed. The dynamic techniques can precisely find the security flaws of the software;but it suffers from substantial runtime overhead. On the other hand, the static techniques require no runtime overhead;but it is often not accurate enough. In this paper, we propose HYBit, a novel hybrid framework which integrates dynamic and static taint analysis to diagnose the security flaws for binary programs. In the framework, the source binary is first analyzed by the dynamic taint analyzer;then, with the runtime information provided by its dynamic counterpart, the static taint analyzer can process the unexecuted part of the target program easily. Furthermore, a taint behavior filtration mechanism is proposed to optimize the performance of the framework. We evaluate our framework from three perspectives: efficiency, coverage, and effectiveness, and the results are encouraging. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Static analysis

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An new algorithm for DOA estimation based on non-orthogonal joint diagonalization

An new algorithm for DOA estimation based on non-orthogonal ...

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IEEE Conference Anthology

作者： Wei-ke Nie Ai-qin Hou Da-zheng Feng Jian-qiang Liu The School of Information Science and Technology Northwest University Xi'an China National Laboratory of Radar Signal Processing Xidian University Xi'an China Faculty of Science Xidian University Xi'an China

In this paper, A set of spatio-temporal covariance matrices which possess diagonal structure are introduced. Then we use a high quality signal subspace as a dimension-reduction matrix dealing with the set of correlation matrices. A novel cost function was proposed based on nonlinear least squares. Afterwards, a new approach termed Tri-iterative algorithm (TIA) was derived for solving the cost function and estimating the direction of arrival (DOA) of sources. Some numerical simulation examples are provided to demonstrate the effectiveness of the developed algorithm.

关键词： Noise Vectors Artificial intelligence Computer aided software engineering

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Natural human-computer interaction based on finger tracking

Natural human-computer interaction based on finger tracking

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2013 International Conference on Vehicle and Mechanical Engineering and Information technology, VMEIT 2013

作者： Xu, Rong Bin Xie, Ying Guo, Xing Zhu, Er Zhou Wu, Jian Guo Key Laboratory of Intelligent Computing and Signal Processing of Ministry Hefei 230039 China School of Computer Science and Technology Anhui University Hefei 230601 China Computer Studies department Anhui University Hefei 230601 China

ISBN: (纸本)9783037858202

Large touch screen systems (LTSS) have been widely used in scientific, industrial, educational and artistic domains. They are easy and natural for people to use. We present a novel touch screen interaction with finger pointing and operating. To track the high freedom of fingertips with quick changes and self-occlusion by using ordinary cameras is a complex and challenging task. We propose a series of computer vision (CV) algorithms to fix initial position, coordinates mapping, fingertip detection, fingertip tracking, fingertip pose recognition, and generate control instructions. Evaluation shows our system is simply implemented and has a great effect. © (2013) Trans Tech Publications, Switzerland.

关键词： Touch screens

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The principle and implementation of novel FRC algorithm

The principle and implementation of novel FRC algorithm

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2013 International Conference on Vehicle and Mechanical Engineering and Information technology, VMEIT 2013

作者： Xie, Ying Xu, Rong Bin Zuo, Yan Sheng Wu, Jian Guo Key Laboratory of Intelligent Computing and Signal Processing of Ministry Hefei 230039 China Computer Studies department Anhui University Hefei 230601 China School of Computer Science and Technology Anhui University Hefei 230601 China

ISBN: (纸本)9783037858202

FRC technology mainly uses the visual inertia of human eyes which can be regarded as persistence of vision phenomenon by sequential frames. It is especially important to make the 6 bit panel display abundant colors. The paper has deeply researched some possible stripes of the FRC algorithm caused by fixed pattern. A novel stripe removable algorithm has been brought up. It can effectively avoid the horizontal, vertical or diagonal stripe by displaying different temporal and spatial patterns. Various experiments show that the novel algorithm can display high resolution image in the lowly variety devices. © (2013) Trans Tech Publications, Switzerland.

关键词： Display devices

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Pilot anaerobic plant's description, modeling and output feedback control

Pilot anaerobic plant's description, modeling and output fee...

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32nd Chinese Control Conference, CCC 2013

作者： Wang, Haoping Tian, Yang Kalchev, Boyko Simeonov, Ivan Christov, Nicolai Sino-French Joint Laboratory of Automation and Signal Processing School of Automation Nanjing University of Science and Technology Nanjing China Stephan Angeloff Institute of Microbiology Bulgarian Academy of Sciences Bulgaria LAGIS- CNRS UMR 8219 Lille University of Science and Technology Villeneuve d'Ascq France

ISBN: (纸本)9789881563835

This paper deals with the description, mathematical modeling and recursive output feedback control of a pilot anaerobic plant. Based on experimental results obtained during the start-up and operating of a pilot bioreactor, a five-order continuous-time anaerobic digestion model is obtained. The output trajectory tracking and disturbance compensation for the bioprocess model are realized using a new composed recursive controller comprising a recursive model free stabilization term and a recursive time delay compensation term. The performances of the new bioprocess controller are compared by numerical simulation with the performances of an existing nonlinear proportional-integral controller. © 2013 TCCT, CAA.

关键词： Controllers

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A ROBUST signal-FLOW ARCHITECTURE FOR COOPERATIVE VEHICLE DENSITY CONTROL

A ROBUST SIGNAL-FLOW ARCHITECTURE FOR COOPERATIVE VEHICLE DE...

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IEEE International Conference on Acoustics, Speech, and signal processing

作者： Thomas A. Baran Berthold K. P. Horn Massachusetts Institute of Technology Digital Signal Processing Group Research Laboratory of Electronics Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory

ISBN: (纸本)9781479903573

Traffic flow instabilities have many potential negative consequences, including increased danger of collisions, higher fuel consumption, faster of abrasion of roadways, and reduction of overall traffic throughput. Instabilities occur even if modern forward-looking adaptive cruise control systems are used. In this paper, we present an architecture for controlling vehicle density that uses coordination between adjacent vehicles to attain desired safe following distances, without generating these types of instabilities in the process. The presented architecture has several additional desirable properties, including being robust to sensor failures and measurement inconsistencies, as well as allowing for inhomogeneous vehicle dynamics.

关键词： Traffic flow instabilities Cooperative control Conservation coordinated control ARCHITECTURE vehicle CONSERVATION adaptive cruise control system Vehicle dynamics Road Building construction abrasion Standing Orders Fuel consumption CRUISE CONTROL

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Robust waveform design for MIMO-STAP to improve the worst-case detection performance

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EURASIP Journal on Advances in signal processing 2013年第1期2013卷 1-8页

作者： Hongyan Wang Guisheng Liao Jun Li Wangmei Guo National Key Laboratory of Radar Signal Processing Xidian University Xi’an China No.20 Research Institute of China Electronics Technology Group Corporation Xi’an China National Key Laboratory of Integrated Services Networks Xidian University Xi’an China

In this article, we address the problem of robust waveform optimization for improving the worst-case detection performance of multi-input multi-output (MIMO) space–time adaptive processing (STAP) in the presence of colored Gaussian disturbance. A novel diagonal loading-based method is proposed to optimize the waveform covariance matrix for maximizing the worst-case output signal-interference-noise ratio (SINR) over the convex uncertainty set such that the worst-case detection performance of MIMO–STAP can be maximized. The resultant nonlinear optimization problem is reformulated as a semidefinite programming problem, which can be solved very efficiently. Numerical examples show that the worst-case output SINR of MIMO–STAP can be improved considerably by the proposed method compared to that of uncorrelated waveforms.

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