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广义Pareto分布海杂波背景下非相干检测器恒虚警性能分析

张坤 水鹏朗

张坤, 水鹏朗. 广义Pareto分布海杂波背景下非相干检测器恒虚警性能分析[J]. 电子与信息学报, 2021, 43(3): 523-530. doi: 10.11999/JEIT200644
引用本文: 张坤, 水鹏朗. 广义Pareto分布海杂波背景下非相干检测器恒虚警性能分析[J]. 电子与信息学报, 2021, 43(3): 523-530. doi: 10.11999/JEIT200644
Kun ZHANG, Penglang SHUI. CFAR Analysis of Non-coherent Detectors in Generalized Pareto Distributed Sea Clutter[J]. Journal of Electronics & Information Technology, 2021, 43(3): 523-530. doi: 10.11999/JEIT200644
Citation: Kun ZHANG, Penglang SHUI. CFAR Analysis of Non-coherent Detectors in Generalized Pareto Distributed Sea Clutter[J]. Journal of Electronics & Information Technology, 2021, 43(3): 523-530. doi: 10.11999/JEIT200644

广义Pareto分布海杂波背景下非相干检测器恒虚警性能分析

doi: 10.11999/JEIT200644
基金项目: 国家自然科学基金(61671357)
详细信息
    作者简介:

    张坤:男,1989年生,博士生,研究方向为压缩感知、雷达信号处理和海面目标检测及其参数估计

    水鹏朗:男,1967年生,教授,博士生导师,研究方向为雷达目标探测、图像处理和滤波器组设计与应用

    通讯作者:

    张坤 xidiankun@163.com

  • 中图分类号: TN959.72

CFAR Analysis of Non-coherent Detectors in Generalized Pareto Distributed Sea Clutter

Funds: The National Natural Science Foundation of China (61671357)
  • 摘要: 该文在广义Pareto分布海杂波背景下研究了单元平均(CA)和有序统计量(OS)两种非相干检测器的恒虚警(CFAR)性质,推导了两种非相干检测器的虚警概率公式,发现了两种检测器对杂波的尺度参数是恒虚警的。然而,两种检测器对杂波的散斑协方差矩阵结构和杂波形状参数是非恒虚警的。为了实现全场景的恒虚警检测,预先通过白化方法将具有相关性的海杂波去相关,并通过查表方法使用了匹配杂波形状参数、累积脉冲数和参考单元数的检测门限。在这种情况下,实验结果表明两种非相干检测器能确保全场景恒虚警。
  • 图  1  全场景CFAR检测的CA-CFAR和OS-CFAR检测器的原理框图

    图  2  CA-CFAR和OS-CFAR检测器的检测门限随着散斑协方差矩阵结构参数的变化情况

    图  3  预白化处理的CA-CFAR和OS-CFAR检测器检测门限随着散斑协方差矩阵结构参数的变化情况

    图  4  CA-CFAR和OS-CFAR检测器的检测门限随形状参数的变化情况

    图  5  3组数据的幅度图

    图  6  3组数据的幅度分布拟合结果

    图  7  全场景CFAR的CA-CFAR和OS-CFAR检测器在3组数据不同目标信杂比情况下的检测概率

  • RICHARDS M A. Fundamentals of Radar Signal Processing[M]. 2nd ed. New York, United States: McGraw-Hill Education, 2014: 449-554.
    何友, 关键, 孟祥伟, 等. 雷达自动检测和CFAR处理方法综述[J]. 系统工程与电子技术, 2001, 23(1): 9–14, 85. doi: 10.3321/j.issn:1001-506X.2001.01.003

    HE You, GUAN Jian, MENG Xiangwei, et al. Survey of automatic radar detection and CFAR processing[J]. Systems Engineering and Electronics, 2001, 23(1): 9–14, 85. doi: 10.3321/j.issn:1001-506X.2001.01.003
    ROHLING H. Radar CFAR thresholding in clutter and multiple target situations[J]. IEEE Transactions on Aerospace and Electronic Systems, 1983, 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
    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
    时艳玲, 刘浩, 刘子鹏, 等. 基于GLRT的逆高斯纹理海杂波背景下目标检测器[J]. 信号处理, 2020, 36(12): 2067–2073. doi: 10.16798/j.issn.1003-0530.2020.12.013

    SHI Yanling, LIU Hao, LIU Zipeng, et al. The GLRT to detect target in sea clutter with inverse Gaussian texture[J]. Journal of Signal Processing, 2020, 36(12): 2067–2073. doi: 10.16798/j.issn.1003-0530.2020.12.013
    SHI Yanling. Three GLRT detectors for range distributed target in grouped partially homogeneous radar environment[J]. Signal Processing, 2017, 135: 121–131. doi: 10.1016/j.sigpro.2016.12.030
    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.
    李大朋, 姚迪. 对K分布形状参数的M估计器的再改进[J]. 电子与信息学报, 2011, 33(7): 1752–1755. doi: 10.3724/SP.J.1146.2010.00958

    LI Dapeng and YAO Di. A further enhanced M-estimator for the K-distribution shape parameter[J]. Journal of Electronics &Information Technology, 2011, 33(7): 1752–1755. doi: 10.3724/SP.J.1146.2010.00958
    张坤, 水鹏朗, 王光辉. 相参雷达K分布海杂波背景下非相干积累恒虚警检测方法[J]. 电子与信息学报, 2020, 42(7): 1627–1635. doi: 10.11999/JEIT190441

    ZHANG Kun, SHUI Penglang, and WANG Guanghui. Non-coherent integration constant false alarm rate detectors against K-distributed sea clutter for coherent radar system[J]. Journal of Electronics &Information Technology, 2020, 42(7): 1627–1635. doi: 10.11999/JEIT190441
    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
    FARSHCHIAN M and POSNER F L. The Pareto distribution for low grazing angle and high resolution X-band sea clutter[C]. 2010 IEEE Radar Conference, Washington, USA, 2010: 10–14. doi: 10.1109/RADAR.2010.5494513.
    BALLERI A, NEHORAI A, and WANG Jian. Maximum likelihood estimation for compound-Gaussian clutter with inverse gamma texture[J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(2): 775–779. doi: 10.1109/TAES.2007.4285370
    许述文, 王乐, 曾威良, 等. 逆伽马纹理复合高斯杂波参数的贝叶斯估计方法[J]. 太赫兹科学与电子信息学报, 2019, 17(4): 583–588. doi: 10.11805/TKYDA201904.0583

    XU Shuwen, WANG Le, ZENG Weiliang, et al. Bayesian estimation method for compound Gaussian clutter model with inverse gamma texture[J]. Journal of Terahertz Science and Electronic Information Technology, 2019, 17(4): 583–588. doi: 10.11805/TKYDA201904.0583
    于涵, 水鹏朗, 施赛楠, 等. 广义Pareto分布海杂波模型参数的组合双分位点估计方法[J]. 电子与信息学报, 2019, 41(12): 2836–2843. doi: 10.11999/JEIT190148

    YU Han, SHUI Penglang, SHI Sainan, et al. Combined bipercentile parameter estimation of generalized Pareto distributed sea clutter model[J]. Journal of Electronics &Information Technology, 2019, 41(12): 2836–2843. doi: 10.11999/JEIT190148
    YU Han, SHUI Penglang, LU Kai, et al. Bipercentile parameter estimators of bias reduction for generalised Pareto clutter model[J]. IET Radar, Sonar & Navigation, 2020, 14(7): 1105–1112. doi: 10.1049/iet-rsn.2019.0622
    BOCQUET S, ZUK J, and ROSENBERG L. Non-coherent radar detection probability in compound sea clutter with correlated speckle[C]. 2018 IEEE Radar Conference, Oklahoma, USA, 2018: 23–27. doi: 10.1109/RADAR.2018.8378546.
    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
    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, 10(6): 853–863. doi: 10.1109/taes.1974.307893
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出版历程
  • 收稿日期:  2020-07-24
  • 修回日期:  2021-01-20
  • 网络出版日期:  2021-01-29
  • 刊出日期:  2021-03-22

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