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Entrepreneur and WIE STAR [Women to Watch]

IEEE Women in Engineering Magazine 2016年第2期10卷 21-24页

作者： Williams, Katianne Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha Hunan China School of Economics and Management Tongji University Shanghai P.R. China

Min Chen was four years old when her family left China for a new life in Panama. Although her father was a skilled electrical and electronics engineer, Chen recalls the jobs waiting for him in Panama as typical immigrant labor. His father used his skills wherever he could-remodeling buildings, assembling equipment for restaurants, or repairing machines for factories. Chen's mother, who had worked in the electronics industry back in China, stayed home to take care of Min and her young brother. © 2016 IEEE.

关键词： Electronics industry

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Coherent Integration Method of Frequency Agile Radar for target Detection

Coherent Integration Method of Frequency Agile Radar for Tar...

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IEEE Asia-Pacific Conference on Antennas and Propagation

作者： Caiyong Lin Ruiqi Tian Qinglong Bao Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

ISBN: (纸本)9781538616093

Frequency agile radar (FAR) has been widely used due to its good ability in anti-jamming and low probability of interception. However, FAR transmits pulses with agile frequencies, which will lead to random phase fluctuation and destroy the consistency between pulse-to-pulse radar echo. Aiming at this problem, a coherent integration method for target detection using FAR is proposed in this paper. This method first removes the initial carrier frequency of echo signals. Then a bank of matched filters are constructed according to the echo signals with initial carrier frequency removed. After being matched filtered, the phase fluctuation due to frequency agility is eliminated. Consequently, coherent integration can be achieved by feeding the filtered signals to fast Fourier transform (FFT). Finally, numerical simulations are performed to verify the effectiveness of the proposed method.

关键词： Radar Matched filters Fluctuations Frequency modulation Doppler effect OFDM Object detection

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Bistatic weak target detection method using non-cooperative air surveillance radar

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Journal of Systems Engineering and Electronics 2015年第5期26卷 954-963页

作者： Dinghe Wang Qinglong Bao Ruiqi Tian Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

At present, most of the passive radar system researches utilize FM radios, TV broadcasts, navigation satellites,etc. as illuminators. The transmitted signals are not specifically designed radar waveforms. In this work, the frequency agile, phased array air surveillance radar(ASR) is used as the illuminator of opportunity to detect the weak target. The phased array technology can help realize beam agility to track targets from different aspects simultaneously. The frequency agility technology is widely employed in radar system design to increase the ability of anti-jamming and increase the detection probability. While the frequency bandwidth of radar signals is usually wide and the range resolution is high, the range cell migration effect is obvious during the long time integration of non-cooperative bistatic radar. In this context, coherent integration methods are not applicable. In this work, a parametric non-coherent integration algorithm based on task de-interweaving is proposed. Numerical experiments verify that this is effective in weak target detection.

关键词： air surveillance radar non-cooperative bistatic task de-interweave

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SMC-PHD based multi-target track-before-detect with nonstandard point observations model

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Journal of Central South University 2015年第1期22卷 232-240页

作者：占荣辉高彦钊胡杰民张军 Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

Detection and tracking of multi-target with unknown and varying number is a challenging issue, especially under the condition of low signal-to-noise ratio(SNR). A modified multi-target track-before-detect(TBD) method was proposed to tackle this issue using a nonstandard point observation model. The method was developed from sequential Monte Carlo(SMC)-based probability hypothesis density(PHD) filter, and it was implemented by modifying the original calculation in update weights of the particles and by adopting an adaptive particle sampling strategy. To efficiently execute the SMC-PHD based TBD method, a fast implementation approach was also presented by partitioning the particles into multiple subsets according to their position coordinates in 2D resolution cells of the sensor. Simulation results show the effectiveness of the proposed method for time-varying multi-target tracking using raw observation data.

关键词： adaptive particle sampling multi-target track-before-detect probability hypothesis density（PHD） filter sequential Monte Carlo（SMC） method

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Maneuvering target track-before-detect via multiple-model Bernoulli particle filter

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Journal of Central South University 2015年第10期22卷 3935-3945页

作者：占荣辉刘盛启胡杰民张军 Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

target tracking using non-threshold raw data with low signal-to-noise ratio is a very difficult task, and the model uncertainty introduced by target's maneuver makes it even more challenging. In this work, a multiple-model based method was proposed to tackle such issues. The method was developed in the framework of Bernoulli filter by integrating the model probability parameter and implemented via sequential Monte Carlo(particle) technique. target detection was accomplished through the estimation of target's existence probability, and the estimate of target state was obtained by combining the outputs of modeldependent filtering. The simulation results show that the proposed method performs better than the TBD method implemented by the conventional multiple-model particle filter.

关键词： Bernoulli filter multiple model target maneuver track-before-detect（TBD） sequential Monte Carlo（SMC） technique

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An Adaptive Method of Pulse Detection Based on Frequency-domain CFAR

An Adaptive Method of Pulse Detection Based on Frequency-dom...

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Progress in Electromagnetic Research Symposium

作者： Xiaolei Fan Yurong Wan Tao Li Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

ISBN: (纸本)9781509060948

Aiming at pulse detection in practical complex environment applications, a new method based on frequency-domain constant false alarm rate (CFAR) detector is proposed in this paper. First, short time Fourier transform (STFT) is carried out. Then frequency-domain CFAR detector is used to judge whether signal exists or not in each STFT window. Finally the complete pulse is detected by sliding the STFT window. The threshold of the method is obtained and updated automatically according to the current noise level. The proposed method is robust to signal to noise ratio (SNR) and can work well without artificially setting detection threshold. Simulation results and real data applications validate the effectiveness of the proposed method.

关键词： STFT signal to noise ratios THRESHOLDING METHOD Vital Signs Pulses constant false alarm rate observational data automatic

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SAR automatic target recognition Based on Deep Convolutional Neural Networks

SAR Automatic Target Recognition Based on Deep Convolutional...

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2016 International Conference on Artificial Intelligence: Techniques and Applications(AITA 2016)

作者： Rong-hui ZHAN Zhuang-zhuang TIAN Jie-min HU Jun ZHANG Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

Deep convolutional neural networks(CNN) have recently proven extremely competitive in challenging visible light image and speech recognition tasks. The goal of the present study is to explore the application of automatically learned convolutional network features to radar target recognition. Specifically,a two-stage convolutional-pooling network architecture is designed and error back-propagation algorithm with momentum acceleration strategy is used to learn the network weights in a supervised fashion. The effectiveness of the proposed method is assessed by SAR image classification tasks on the standard benchmark of MSTAR(Moving and Stationary target Acquisition and recognition) database. Our experiments show the presented method has achieved encouraging results with a correct recognition rate of 95.64% for three classes of targets and 92.86% for ten classes of targets.

关键词： SAR image recognition Convolutional neural networks Deep learning Error back-propagation

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Infrared target Detection and False Alarm Elimination Based on Multi-feature Fusion Decision

Infrared Target Detection and False Alarm Elimination Based ...

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Progress in Electromagnetic Research Symposium

作者： Qiwei Dai Weihua Wang Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

ISBN: (纸本)9781509060948

In this paper a multi-feature fusion decision algorithm based on the idea of lingering decision is proposed. Firstly, the algorithm segments the infrared images by iterative OTSU segmentation method and detects the edge by morphological processing. Then, it extracts multiple features of the ted targets on the basis of the combination of segmentation and edge result. Finally, an integrative classifier is constructed to distinguish the real targets from the false alarm by setting up appropriate fusion criteria. The test data detection demonstrates the validity of the algorithm.

关键词： Image segmentation Image edge detection Feature extraction Object detection Jamming Signal to noise ratio Electromagnetics

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An Experimental Study of Multiband Bistatic Passive Radar System

An Experimental Study of Multiband Bistatic Passive Radar Sy...

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Progress in Electromagnetic Research Symposium

作者： Qinglong Bao Yasen Wang Yue Zhang Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

ISBN: (纸本)9781509060948

Interest in Passive Radar has grown significantly over the last decade. However, most Passive Radar systems have been experimental set-ups tailored to a signal frequency band or a single illuminator. In this paper, the design considerations and the resulting Multiband Bistatic Passive Radar (MBPR) structure are described and the evaluations of various measurement campaigns with multioctaves array antenna are summarized.

关键词： Passive radar Radar systems design consideration multiband experimental set-up interest

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A Modified Time-frequency Approach for Radar Signal Analysis Based on Spectrogram and Entropy Evaluation

A Modified Time-frequency Approach for Radar Signal Analysis...

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Progress in Electromagnetic Research Symposium

作者： Jiangwei Zou Pengjiang Hu Biao Tian Zengping Chen Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology

ISBN: (纸本)9781509060948

A modified spectrogram approach is presented for the analysis of frequency modulated radar signals, taking the entropy as the evaluation criterion. The characteristics of spectrogram are firstly introduced. After the analysis of performance evaluation for time-frequency distribution, entropy is studied as a quantitative parameter for concentration and cross-term suppression. An improved spectrogram method based on multi-window is proposed and verified by simulated data through entropy criterion.

关键词： Spectrogram RADAR SIGNALS entropy Frequency analysis evaluation criterion simulated data Performance Evaluation

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