高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

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

赵文静 刘畅 刘文龙 金明录

赵文静, 刘畅, 刘文龙, 金明录. 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
引用本文: 赵文静, 刘畅, 刘文龙, 金明录. 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
Wenjing ZHAO, Chang LIU, Wenlong LIU, Minglu JIN. 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
Citation: Wenjing ZHAO, Chang LIU, Wenlong LIU, Minglu JIN. 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

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

doi: 10.11999/JEIT171092
基金项目: 国家自然科学基金(61401059)
详细信息
    作者简介:

    赵文静:女,1990年生,博士生,研究方向为信息几何及雷达目标检测

    刘畅:男,1988年生,博士生,研究方向为认知无线电频谱感知技术、统计信号处理、随机矩阵理论等

    刘文龙:男,1973年生,教授,博士生导师,主要研究方向为MIMO及SM系统检测问题等

    金明录:男,1958年生,教授,博士生导师,主要研究方向为信号与通信系统基础理论与技术

    通讯作者:

    金明录  mljin@dlut.edu.cn

  • 中图分类号: TN957.51

Maximum Eigenvalue Based Radar Signal Detection Method for K Distribution Sea Clutter Environment

Funds: The National Natural Science Foundation of China (61401059)
  • 摘要: 针对K分布海杂波背景下的恒虚警检测问题,基于信息几何的矩阵CFAR检测器具有较好的检测性能,但其计算复杂度较高,从而影响其实际应用。该文根据奈曼-皮尔逊准则,推导了似然比检测统计量与最大特征值之间的关系,进而提出了基于最大特征值的矩阵CFAR检测方法(M-MED)。最后通过对所提方法的计算复杂度及仿真实验结果的分析表明了所提方法不仅计算复杂度低且具有较好的检测性能。
  • 图  1  基于最大特征值的CFAR检测器的检测机制

    图  2  短脉冲序列、无杂比波谱展宽场景下的检测性能比较

    图  3  短脉冲序列条件下无杂波谱展宽、有杂波谱展宽场景下的检测性能比较

    图  4  杂波谱宽度为80 Hz,短脉冲序列和长脉冲序列条件下的检测性能比较

    图  5  形状参数对检测性能的影响

    图  6  基于实测数据的检测性能比较

    表  1  不同方法的计算复杂度比较

    算法 协方差矩阵 指数运算 对数运算 幂运算 特征值分解O(M3) 基本运算量
    本文M-MED × × × $N$
    KLD × × × × $O(M! + (N + 3){M^3} + 2{M^2} + M)$
    REM $O({n_t}((N + 2){M^3} + 3N{M^2}) + {M^3} + 2{M^2} + 2M - 1)$
    LD × × × × $M! + (N + 4){M^3} + 2{M^2} + M$
    LE × $(N + 2){M^2} + 2M - 1$
    Bha × × × × $O({n_t}((N + 1){M^3} + (2N + 1){M^2}) + 3M! + 2{M^2} + 3)$
    HEL × × × × $O({n_t}(3NM! + (N + 3){M^3} + 4N{M^2}) + 3M! + 2{M^2} + 4)$
    下载: 导出CSV
  • WARD K D, WATTS S, and TOUGH R JA. Sea Clutter: Scattering, the K Distribution and Radar Performance[M]. London, United Kingdom: 2006: 101–134.
    WANG Bing, CUI Guolong, YI Wei, et al. Constant false alarm rate performance prediction for non-independent and non-identically distributed gamma fluctuating targets[J].IET Radar, Sonar&Navigation, 2016, 10(5): 992–1000 doi: 10.1049/iet-rsn.2014.0563
    CHEN Xiaolong, GUAN Jian, BAO Zhonghua, et al. Detection and extraction of target with micro-motion in spiky sea clutter via short-time fractional Fourier transform[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2): 1002–1018 doi: 10.1109/TGRS.2013.2246574
    陈小龙, 关键, 董云龙, 等. 稀疏域海杂波抑制与微动目标检测方法[J]. 电子学报, 2016, 44(4): 860–867 doi: 10.3969/j.issn.0372-2112.2016.04.015

    CHEN Xiaolong, GUAN Jian, DONG Yunlong, et al. Sea clutter suppression and micromotion target detection in sparse domain[J]. Acta Electronica Sinica, 2016, 44(4): 860–867 doi: 10.3969/j.issn.0372-2112.2016.04.015
    ARNAUDON M, BARBARESCO F, and YANG Le. Riemannian medians and means with applications to radar signal processing[J]. IEEE Journal of Selected Topics in Signal Processing, 2013, 7(4): 595–604 doi: 10.1109/JSTSP.2013.2261798
    CHENG Yongqiang, HUA Xiaoqiang, WANG Hongqiang, et al. The geometry of signal detection with applications to radar signal processing[J]. Entropy, 2016, 18(381): 1–17 doi: 10.3390/e18110381
    赵兴刚, 王首勇. 一种基于KL分离度的改进矩阵CFAR检测方法[J]. 电子与信息学报, 2016, 38(4): 934–940 doi: 10.11999/JEIT150711

    ZHAO Xinggang and WANG Shouyong. An improved matrix CFAR detection method base on KL divergence[J]. Journal of Electronics&Information Technology, 2016, 38(4): 934–940 doi: 10.11999/JEIT150711
    HUA Xiaoqiang, CHENG Yongqiang, WANG Hongqiang, et al. Geometric means and medians with applications to target detection[J]. IET Signal Processing, 2017, 11(6): 711–720 doi: 10.1049/iet-spr.2016.0547
    赵兴刚, 王首勇. 基于K-L散度和散度均值的改进矩阵CFAR检测器[J]. 中国科学: 信息科学, 2017, 47(2): 247–259 doi: 10.1360/N112016-00105

    ZHAO Xinggang and WANG Shouyong. Improved matrix CFAR detector based on K-L divergence and divergence mean (in Chinese)[J]. Scientia Sinica Informationis, 2017, 47(2): 247–259 doi: 10.1360/N112016-00105
    ALI S S, LIU Chang, LIU Jialong, et al. On the eigenvalue based detection for multiantenna cognitive radio system[J]. Mobile Information Systems, 2016, 2016: 1–8 doi: 10.1155/2016/3848734
    LIU Chang, LI Husheng, WANG Jie, et al. Optimal eigenvalue weighting detection for multi-antenna cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2017, 16(4): 2083–2096 doi: 10.1109/TWC.2016.2632711
    LIU Jun, LI Hongbin, and BRAHAM H. Two target detection algorithms for passive multistatic radar[J]. IEEE Transactions on Signal Processing, 2014, 62(22): 5930–5939 doi: 10.1109/TSP.2014.2359637
    陈远征, 陈建军, 付强. 复合高斯杂波下基于GLRT的扩展目标检测[J]. 电子与信息学报, 2010, 32(6): 1327–1331 doi: 10.3724/SP.J.1146.2009.00832

    CHEN Yuanzheng, CHEN Jianjun, and FU Qiang. Detection of range spread target based on GLRT in compound-Gaussian clutter[J]. Journal of Electronics&Information Technology, 2010, 32(6): 1327–1331 doi: 10.3724/SP.J.1146.2009.00832
    王松贵, 吴密霞, 贾忠贞. 矩阵不等式[M]. 北京: 科学出版社, 2006: 96–103.

    WANG Songgui, WU Mixia, and JIA Zhongzhen. Matrix Inequalities [M]. Beijing: Science Press, 2006: 96–103.
    WATKINS D. Fundamentals of Matrix Computation [M]. Hoboken, New Jersey: John Wiley & Sons, Inc., 2010: 71–105.
    IPIX radar file, IPIX radar dataset files in Dartmouth [OL]. http://soma.ece.cmaster.ca/ipix/dartmouth/cdfhowto.html, 1993.
  • 加载中
图(6) / 表(1)
计量
  • 文章访问数:  2494
  • HTML全文浏览量:  559
  • PDF下载量:  108
  • 被引次数: 0
出版历程
  • 收稿日期:  2017-11-20
  • 修回日期:  2018-05-21
  • 网络出版日期:  2018-07-12
  • 刊出日期:  2018-09-01

目录

    /

    返回文章
    返回