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Volume 27 Issue 4
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2019  >  27(4): 434-441
YIN Chao-ran, YAN Lin-jie, HAO Cheng-peng, SUN Meng-ru. Design of a Multi-Target Interference Resistant Constant False Alarm Rate Detector for Homogeneous Reverberation Background[J]. Journal of Unmanned Undersea Systems, 2019, 27(4): 434-441. doi: 10.11993/j.issn.2096-3920.2019.04.011
Citation: YIN Chao-ran, YAN Lin-jie, HAO Cheng-peng, SUN Meng-ru. Design of a Multi-Target Interference Resistant Constant False Alarm Rate Detector for Homogeneous Reverberation Background[J]. Journal of Unmanned Undersea Systems, 2019, 27(4): 434-441. doi: 10.11993/j.issn.2096-3920.2019.04.011
shu

Design of a Multi-Target Interference Resistant Constant False Alarm Rate Detector for Homogeneous Reverberation Background

doi: 10.11993/j.issn.2096-3920.2019.04.011
  • 1.

    Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

  • 2.

    School of Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

  • Received Date: 2018-11-19
  • Rev Recd Date: 2019-05-18
  • Publish Date: 2019-08-31
    Abstract
  • To improve the ability of constant false alarm rate(CFAR) method against interference of multiple targets, a new CFAR detector is designed. The unbiased minimum-variance estimation(UMVE) method and the cell average(CA) method are applied to the data of left and right reference windows to obtain two local estimates, and then the smaller of(SO) two is taken as the power level estimate of homogeneous reverberation background. Under the assumption of Swerling II target, the closed-form formulas of the UMCASO-CFAR detector’s false alarm probability and detection probability in homogeneous reverberation background are derived, CFAR property of the detector is proved. Further, the performances of the detector in both homogeneous background and multi-target environment are discussed by means of analytical method, Monte Carlo simulation and measured data processing. The results show that compared with the existing methods, the UMCASO-CFAR detector has higher capability to resist mul-ti-target interference, and ensures a very small CFAR detection loss in homogeneous reverberation background.

     

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    • References(16)
  • [1]
    何友, 关键, 孟祥伟, 等. 雷达目标检测与恒虚警处理[M]. 第2版. 北京: 清华大学出版社, 2011.
    [2]
    Finn H M, Johnson R S. Adaptive Detection Mode with Threshold Control as a Function Spatially Sampled Clutter-Level Estimates[J]. RCA Review, 1968, 29: 414-464.
    [3]
    Trunk G V. Range Resolution of Targets Using Automatic Detectors[J]. IEEE Trans. on AES, 1978, 14(5): 750-755.
    [4]
    Hansen V G. Constant False Alarm Rate Processing in Search Radars[C]//IEEE International Radar Conference. London: IEEE, 1973: 325-332.
    [5]
    郝程鹏, 司昌龙, 原建平, 等. 一种新的基于CM和CA的恒虚警检测器[J]. 弹箭与制导学报, 2007, 27(2): 309-312.

    Hao Cheng-peng, Si Chang-long, Yuan Jian-ping, et al. A Novel CFAR Detector Based on Censored Mean and Cell Averaging[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2007, 27(2): 309-312.
    [6]
    吉书龙, 皇甫堪, 周良桂, 等. 一种新的雷达恒虚警(CFAR)处理器[J]. 国防科技大学学报, 1990, 12(4): 116- 121.

    Ji Shu-long, Huang-fu Kan, Zhou Liang-gui, et al. A New Radar Constant-False-Alarm-Rate(CFAR) Processor[J]. Journal of National University of Defense Technology, 1990, 12(4): 116-121.
    [7]
    Rohling H. Radar CFAR Thresholding in Clutter and Multiple Target Situations[J]. IEEE Transactions on Aerospace and Electronic Systems, 1983, 19(4): 608-621.
    [8]
    Rohling H. Ordered Statistic CFAR Technique—an Overview[J]. 雷达科学与技术, 2012, 10(2): 117-123.
    [9]
    何友, Rohling H. 两种具有自动筛选技术的广义有序统计恒虚警检测器及其在多目标环境下的性能[J]. 电子科学学刊, 1994, 16(6): 582-590.

    He You, Rohling H. Performance of Two Generalized Order Statistics CFAR Detectors with Automatic Censoring Technique in Multiple Target Situations[J]. Journal of Electronics, 1994, 16(6): 582-590.
    [10]
    He Y. Performance of Some Generalized Modified Order Statistics CFAR Detector with Automatic Censoring in Multiple Target Situations[J]. IEE Proceedings-Radar, Sonar and Navigation, 1994, 141(4): 205-212.
    [11]
    何友, 关键, Rohling H. 一种基于排序和平均的新恒虚警检测器[J]. 现代雷达, 1995, 17(4): 33-36.

    He You, Guan Jian, Rohling H. A New CFAR Detector Based on Ordered Statistics and Averaging[J]. Modern Radar, 1995, 17(4): 33-36.
    [12]
    Nagle D T, Saniie J. Performance Analysis of Linearly Combined Order Statistic CFAR Detectors[J]. IEEE Trans. on AES, 1995, 32(2): 522-533.
    [13]
    郝程鹏, 侯朝焕. 基于UMVE算法的恒虚警检测器[J].现代雷达, 2007, 29(7): 38-40.

    Hao Cheng-peng, Hou Chao-huan. CFAR Detector Based on Unbiased Minimum-variance Estimation Algorithm[J]. Modern Radar, 2007, 29(7): 38-40.
    [14]
    郝程鹏, 侯朝焕. 一种新的基于UMVE和OS的恒虚警检测算法[J]. 电子与信息学报, 2007, 29(6): 1380-1383.

    Hao Cheng-peng, Hou Chao-huan. A Noval CFAR Algo-rithm Based on Unbiased Minimum-Variance Estimation and Ordered Statistics Estimation[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1380-1383.
    [15]
    曲超, 郝程鹏, 杨树元. 一种新的基于UMVE和CA的恒虚警检测器[J]. 计算机仿真, 2008, 25(9): 321-323.

    Qu Chao, Hao Cheng-peng, Yang Shu-yuan. A Novel CFAR Detector Based on Unbiased Minimum-Variance Estimation and Cell Averaging[J]. Computer Simulation, 2008, 25(9): 321-323.
    [16]
    Swerling P. Probability of Detection for Fluctuating Targets [J]. IRE Trans. on IT, 1960, 6(2): 269-308.
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