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Volume 42 Issue 7
Jul.  2020
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Kun ZHANG, Penglang SHUI, Guanghui WANG. Non-coherent Integration Constant False Alarm Rate Detectors against K-distributed Sea Clutter for Coherent Radar Systems[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1627-1635. doi: 10.11999/JEIT190441
Citation: Kun ZHANG, Penglang SHUI, Guanghui WANG. Non-coherent Integration Constant False Alarm Rate Detectors against K-distributed Sea Clutter for Coherent Radar Systems[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1627-1635. doi: 10.11999/JEIT190441

Non-coherent Integration Constant False Alarm Rate Detectors against K-distributed Sea Clutter for Coherent Radar Systems

doi: 10.11999/JEIT190441
Funds:  The National Nature Science Foundation of China (61671357)
  • Received Date: 2019-06-18
  • Rev Recd Date: 2020-05-25
  • Available Online: 2020-06-04
  • Publish Date: 2020-07-23
  • The non-coherent integration detectors for coherent radar systems can promote the detection rate of the radar and meet the required real-time processing, however, these detectors are not Constant False Alarm Rate (CFAR) with respect to the reference cell number, the accumulated pulse number, the clutter speckle covariance matrix, and the shape parameter of the sea clutter model. Based on block-whitening method to whiten the sea clutter, a Pre-Whitening Cell-Averaging CFAR (PWCA-CFAR) detector and a Pre-Whitening Cell-Median CFAR (PWCM-CFAR) detector are proposed where the detection thresholds matching the reference cell number, accumulated pulse number and shape parameter are used. The experiment results show that the PWCM-CFAR detector attains better detection performance than the PWCA-CFAR detector when there exist abnormal cells.

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  • 张玉石, 许心瑜, 尹雅磊, 等. L波段小擦地角海杂波幅度统计特性研究[J]. 电子与信息学报, 2014, 36(5): 1044–1048. doi: 10.3724/SP.J.1146.2013.01139

    ZHANG Yushi, XU Xinyu, YIN Yalei, et al. Research on amplitude statistics of L-band low grazing angle sea clutter[J]. Journal of Electronics &Information Technology, 2014, 36(5): 1044–1048. doi: 10.3724/SP.J.1146.2013.01139
    赵文静, 刘畅, 刘文龙, 等. K分布海杂波背景下基于最大特征值的雷达信号检测算法[J]. 电子与信息学报, 2018, 40(9): 2235–2241. doi: 10.11999/JEIT171092

    ZHAO Wenjing, LIU Chang, LIU Wenlong, et al. Maximum eigenvalue based radar signal detection method for K distribution sea clutter environment[J]. Journal of Electronics &Information Technology, 2018, 40(9): 2235–2241. doi: 10.11999/JEIT171092
    时艳玲, 水鹏朗. ANMF和CM-CFAR在K分布海杂波下的性能分析[J]. 西北大学学报: 自然科学版, 2012, 42(3): 359–364, 380. doi: 10.16152/j.cnki.xdxbzr.2012.03.004

    SHI Yanling and SHUI Penglang. Performance analysis of ANMF and CM-CFAR detectors against K-distributed sea clutter[J]. Journal of Northwest University:Natural Science Edition, 2012, 42(3): 359–364, 380. doi: 10.16152/j.cnki.xdxbzr.2012.03.004
    WARD K D, TOUGH R J A, and WATTS S. Sea Clutter: Scattering, the K Distribution and Radar Performance[M]. London, United Kingdom: The Institution of Engineering and Technology, 2013: 101–143.
    郝程鹏, 侯朝焕. 一种K-分布杂波背景下的双参数恒虚警检测器[J]. 电子与信息学报, 2007, 29(3): 756–759.

    HAO Chengpeng and HOU Chaohuan. A two parameter CFAR detector in K-distribution clutter[J]. Journal of Electronics &Information Technology, 2007, 29(3): 756–759.
    ROHLING H. Radar CFAR thresholding in clutter and multiple target situations[J]. IEEE Transactions on Aerospace and Electronic Systems, 1983, AES-19(4): 608–621. doi: 10.1109/TAES.1983.309350
    孟祥伟. 秩和非参数检测器在杂波边缘中的性能[J]. 电子与信息学报, 2019, 41(12): 2859–2864. doi: 10.11999/JEIT190136

    MENG Xiangwei. Performance of rank sum nonparametric detector at clutter edge[J]. Journal of Electronics &Information Technology, 2019, 41(12): 2859–2864. doi: 10.11999/JEIT190136
    代振, 王平波, 卫红凯. 非高斯背景下基于Sigmoid函数的信号检测[J]. 电子与信息学报, 2019, 41(12): 2945–2950. doi: 10.11999/JEIT190012

    DAI Zhen, WANG Pingbo, and WEI Hongkai. Signal detection based on Sigmoid function in Non-Gaussian noise[J]. Journal of Electronics &Information Technology, 2019, 41(12): 2945–2950. doi: 10.11999/JEIT190012
    HUANG Penghui, XIA Xianggen, LIAO Guisheng, et al. Long-time coherent integration algorithm for radar maneuvering weak target with acceleration rate[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(6): 3528–3542. doi: 10.1109/TGRS.2018.2885508
    CHEN Shuailin, LUO Feng, ZHANG Linrang, et al. Coherent integration detection method for maneuvering target based on dynamic programming[J]. AEU-International Journal of Electronics and Communications, 2017, 73: 46–49. doi: 10.1016/j.aeue.2016.12.021
    李东宸, 水鹏朗, 许述文. 块白化杂波抑制的海面漂浮小目标检测方法[J]. 西安电子科技大学学报: 自然科学版, 2016, 43(6): 21–26. doi: 10.3969/j.issn.1001-2400.2016.06.004

    LI Dongchen, SHUI Penglang, and XU Shuwen. Floating small target detection in the sea clutter via block-whitened clutter suppression[J]. Journal of Xidian University, 2016, 43(6): 21–26. doi: 10.3969/j.issn.1001-2400.2016.06.004
    朱洁丽, 汤俊. 基于改进的ZMNL和SIRP的K分布杂波模拟方法[J]. 雷达学报, 2014, 3(5): 533–540. doi: 10.3724/SP.J.1300.2014.13124

    ZHU Jieli and TANG Jun. K-distribution clutter simulation methods based on improved ZMNL and SIRP[J]. Journal of Radars, 2014, 3(5): 533–540. doi: 10.3724/SP.J.1300.2014.13124
    REED I S, MALLETT J D, and BRENNAN L E. Rapid convergence rate in adaptive arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1974, AES-10(6): 853–863. doi: 10.1109/taes.1974.307893
    GINI F. Performance analysis of two structured covariance matrix estimators in compound-Gaussian clutter[J]. Signal Processing, 2000, 80(2): 365–371. doi: 10.1016/s0165-1684(99)00135-8
    The defence, peace, safety, and security unit of the council for scientific and industrial research. The Fynmeet radar database[EB/OL]. http://www.csir.co.za/small_boat_detection, 2014.
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