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An extended processing scheme for coherent integration and parameter estimation based on matched filtering in passive radar

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Journal of Zhejiang University-Science C(Computers and Electronics) 2014年第11期15卷 1071-1085页

作者： Xin GUAN Li-hua ZHONG Dong-hui HU Chi-biao DING Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences University of Chinese Academy of Sciences

In passive radars, coherent integration is an essential method to achieve processing gain for target detection. The cross ambiguity function(CAF) and the method based on matched filtering are the most common approaches. The method based on matched filtering is an approximation to CAF and the procedure is:(1) divide the signal into snapshots;(2) perform matched filtering on each snapshot;(3) perform fast Fourier transform(FFT) across the snapshots. The matched filtering method is computationally affordable and can offer savings of an order of 1000 times in execution speed over that of CAF. However, matched filtering suffers from severe energy loss for high speed targets. In this paper we concentrate mainly on the matched filtering method and we use keystone transform to rectify range migration. Several factors affecting the performance of coherent integration are discussed based on the matched filtering method and keystone transform. Modified methods are introduced to improve the performance by analyzing the impacts of mismatching, precision of the keystone transform, and discretization. The modified discrete chirp Fourier transform(MDCFT) is adopted to rectify the Doppler expansion in a multi-target scenario. A novel velocity estimation method is proposed, and an extended processing scheme presented. Simulations show that the proposed algorithms improve the performance of matched filtering for high speed targets.

关键词： keystone transform Matched filtering MDCFT Mismatching Passive radar Velocity estimation

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Cognitive Radio Enabled Reliable Transmission for Optimal Remote State Estimation in Multi-Sensor Industrial Cyber-Physical systems

Cognitive Radio Enabled Reliable Transmission for Optimal Re...

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IEEE/CIC International Conference on Communications in China

作者： Ling Lyu Cailian Chen Cunqing Hua Xinping Guan Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 P. R. China School of Information Security Engineering Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781509002443

This paper investigates the remote state estimation for the multi-sensor industrial cyber-physical systems (ICPSs) with the help of cognitive radio (CR) technology. The remote state estimator estimates the system states based on the measurements received from multi-sensor via the unreliable communication media, therefore, the performance of remote state estimation is up to the transmission reliability. In this paper, the redundant transmission is adopted to improve the reliability. Furthermore, the CR technology, which can intelligently discover the available spectrum opportunities in licensed bands, is exploited to alleviate the spectrum over-crowd problem aggravated by the redundancy design to improve the state estimation performance by. Specifically, we firstly formulate two CR enabled sequential optimization problems to improve the accuracy of state estimation and enhance the understanding of industrial plant. The primary one is to minimize the CR enabled estimation error subjected to the limited resource. The secondary one is to maximize the CR enabled best-effort data transmission volume subjected to the primary one's solutions. Secondly, a new sequence is constructed to approximate the limit-form objective function of the primary optimization problem. Finally, the two optimization problems are transformed into convex programming with the Lagrangian relaxation and Lagrangian dual decomposition techniques to reduce the computational complexity. Numerical results demonstrate that the CR technology reduces the mean square error of state estimation by about 40% and increases the volume of the best-effort data transmission by about 320%.

关键词： Industrial cyber-physical systems cognitive radio technology state estimation Kalman filter State estimation multi sensor Kalman filters Cognitive radio chromium power transmission reliability radio technology Mean square error Remote

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Distributed Event-Triggered control for Constrained Multi-Agent systems: Output Feedback Case

Distributed Event-Triggered Control for Constrained Multi-Ag...

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第三十四届中国控制会议

作者： Xiongjun Wu Ziyang Meng Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation The Institute for Information-Oriented Control Technische Universit?t München

ISBN: (纸本)9781467374439

In this paper, a distributed event-triggered control strategy is proposed such that consensus of multi-agent systems is achieved subject to input saturation in an output feedback setting. Instead of triggering the controller periodically, the proposed controller is not activated until the response of the system exceeds some pre-defined event-triggered limitation. The case of the output feedback is considered and the allowed saturation approach is introduced to deal with the nonlinearity caused by the input saturation. In the proposed scheme, since no hard constraint is imposed to the control input, we can make full use of the available actuator capacity. In addition, results on the minimization of the frequency of the event-triggered actions are provided.

关键词： input saturation,multi-agent systems,event-triggered control,output feedback

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An ADRC Based Multiple Activated Anti-windup Design

An ADRC Based Multiple Activated Anti-windup Design

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第三十四届中国控制会议

作者： Xiongjun Wu Kun Cai Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation

ISBN: (纸本)9781467374439

A multiple activated anti-windup compensated algorithm for Active Disturbance Rejection control(ADRC) mechanism is proposed in this paper. This paradigm extends the multi-activated anti-windup scheme to the active disturbance rejection mechanism, to deal with the input saturation nonlinearity and meanwhile reject the disturbance automatically by using Extended State Observer(ESO). The output of anti-windup compensator is treated as a part of unknown disturbances and is introduced into the ESO, which can online observe both internal and external disturbances(parameter uncertainties and model mismatches). The controller input is yielded by using a nonlinear feedback combination, and it is used to compensate the integrator windup caused by the saturation nonlinearity element. On the other hand, in order to determine the parameters of the ESO and the anti-windup compensator feedback gain, the L2 gain design method is considered. The effectiveness and the robustness against model and parameter uncertainties of the proposed method is verified by an example of the seeker platform.

关键词： Actuator saturation,Anti-windup design,Active disturbance rejection,Extended State Observer(ESO),Tracking Differentiator

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The squinted-looking SAR real-time imaging based on multi-core DSP

The squinted-looking SAR real-time imaging based on multi-co...

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IET International Radar Conference 2015

作者： Congxin Li Long Jie Lei Cui Di Yao Department of Electronic Engineering Beijing Institute of Technology 100081 Beijing China Science and technology on information system engineering laboratory 100038 Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing 100081 Beijing China Key Laboratory of Electronic and Information Technology in Satellite Navigation 100081 Beijing China

ISBN: (纸本)9781510822023

This paper presents a use of multi-core DSP TMS320C6678 for the squinted-looking synthetic aperture radars (SARs) real-time signal processing method. This paper first briefly introduces the squinted-looking SAR algorithm and analyzes the signal processing by use of spectral analysis (SPECAN). Then, according to the requirement of squinted-looking SAR real-time imaging system, the high performance TI multi-core DSP TMS320C6678 is used for realizing the imaging algorithm through the virtual single-node technology for data transmission and interaction and the parallel approach to data processing. Finally, the flight experiment is carried out and the results show that the virtual processing method meets the requirements of the real-time imaging based on the multi-core DSP hardware platform effectively.

关键词： Real-time Squinted-looking SAR TMS320C6678 DSP Virtual single-node

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RETRACTED: Dual-mode predictive flexible rotor control for active magnetic bearings with input constraints

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Journal of Vibration and control 2016年第20期23卷 NP2页

作者： Yue Wu Jie Zhao Hai-Tao Zhang Ming-Can Fan Xi Yu Guangdong HUST Industrial Technology Research Institute Guangdong Province Key Lab of Digital Manufacturing Equipment ChinaKey Laboratory of Image Processing and Intelligent Control School of Automation State Key Laboratory of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology China Key Laboratory of Image Processing and Intelligent Control School of Automation State Key Laboratory of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology China Department of Mathematics Huizhou University China School of Electrical and Information Engineering Xi'an Technology University China

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A novel access point selection strategy for indoor location with Wi-Fi

A novel access point selection strategy for indoor location ...

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26th Chinese control and Decision Conference, CCDC 2014

作者： Miao, Haoxuan Wang, Zhanbin Wang, Jingcheng Zhang, Langwen Zhengfeng, Liu Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

ISBN: (纸本)9781479937066

The increasing demands on the indoor location service inspire the wide attentions to investigate the indoor position algorithms. Access point (AP) selection is critical important for increasing the estimation accuracy of the indoor location. In this paper, the key features in influencing the accuracy of indoor location systems are investigated. Base on the analysis results, we present an AP selection strategy for indoor location by proposing a novel AP selection index for test point. By using the experiment data, the K-Nearest Neighbor (KNN) and weighted-KNN (WKNN) indoor location methods are carried out to illustrate the performance proposed AP selection strategy. The performance of our AP selection strategy is validated by comparing with the exhaustive AP selection strategy, the fisher AP selection strategy and the largest RSSI strength AP selection strategy. The experiment results show that the proposed AP selection strategy can improve the location accuracy of indoor location with Wi-Fi. © 2014 IEEE.

关键词： Nearest neighbor search

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A statistical method for no-reference image quality assessment

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Journal of Computational information systems 2014年第16期10卷 7203-7212页

作者： Lu, Fangfang Zhao, Qunfei Liu, Huanxi College of Computer Science and Technology Shanghai University of Electric Power Shanghai China Key Laboratory of System Control and Information Processing Department of Automation Shanghai Jiao Tong University Shanghai China

This paper proposes a statistical method for no-reference image quality assessment using steerable pyramid decomposition without any prior knowledge about the distortions of the original image. Because the means of (log2 of) subband coefficient amplitudes (MLSCAs) of the natural images have certain statistical properties independent of their contents, a predicted MLSCAs based on these properties can be considered as a reference index for describing the distorted images. A subband distortion is then defined as the difference between the predicted and real MLSCA of the distorted image. A set of weights for the subbands is used to combine the subband distortions into a quality score. Experimental results show that the proposed method outperforms six no-reference algorithms using natural scene statistics. 1553-9105/Copyright © 2014 Binary information Press

关键词： Statistics

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The review of new NDT methods of metal material fatigue monitoring

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International Journal of Hybrid information Technology 2015年第8期8卷 225-232页

作者： Dong, Jingwei Wu, Qijian Jiang, Wenwen Xu, Qi School of Measure-Control Technology Communication Engineering Harbin China University of Science and Technology Higher educational key laboratory for Signal and Information Processing HarbinHeilongjiang China

Non-destructive testing (NDT) techniques have been employed in all kinds of fields successfully for many years. Newly developed and applied NDT methods of detecting and monitoring fatigue crack in metal material are reviewed in this paper. Some methods based on machine vision technique and image recognition techniques are introduced for at or near surface visible crack testing. As a newborn offspring of acoustic emission technique, electromagnetically induced acoustic emission methods also introduced for both visible and invisible fatigue cracks on metal structure. Nonlinear ultrasonic method and some other NDT methods presently available are mentioned, too. The principles, applied testing fields, data processing algorithms, advantages and disadvantages of these methods are discussed. © 2015, SERSC.

关键词： Metals

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A Weighted PSO Based Randomized Step Frequency Radar with High Resolution for Compressed Sensing

A Weighted PSO Based Randomized Step Frequency Radar with Hi...

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第27届中国控制与决策会议

作者： Qian Chen Xiongjun Wu Junhao Liu School of Information and Electronics Beijing Institute of Technology Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation

ISBN: (纸本)9781479970186

In this paper,a novel randomized step frequency radar with weighted PSO is proposed to recover the range and velocity joint estimating by exploiting sparseness of the targets and invoking compressed sensing(CS) *** this algorithm,we abandons the exhaustive list method in the Orthogonal Matching Pursuit(OMP) scheme,which is easy to cause performance degradation in the radar ***,a weighted PSO dynamic optimal method is adopted,where the convergence speed is increased due to the weighted factor introduced in the Particle Swarm Optimization(PSO).The primary advantage of this method lies in being less sensitive to the initial value of target parameters in the case of online optimization ***,this method overcomes the limitation that the initial parameters must be selected close to the true value of the target,which is not constant in many *** is not necessary to know exactly the target parameters when using our approach,instead,coarse coding bounds of target parameters are enough for the algorithm,which can be done once and for all off-line,and it is only necessary to specify the initial scopes of the velocity and the range of the *** results demonstrate that the proposed weighted PSO approach provides a faster convergence speed and robustness against unpredictable perturbations for range and velocity joint estimating in randomized step frequency radar.

关键词： Weighted PSO Randomized Step Frequency Compressed Sensing

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