非高斯海杂波背景最优相干检测性能分析  

Performance Analysis of Optimum Coherent Detectors Matching Non-Gaussian Characteristics of Sea Clutter

作　　者：刘扬[1,2] 薛健 伍政华[1,2] LIU Yang;XUE Jian;WU Zhenghua(No.38 Research Institute of China Electronics Technology Group Corporation,Hefei 230088,China;Key Laboratory of Aperture Array and Space Application,Hefei 230088,China;National Key Laboratory of Radar Signal Processing,Xidian University,Xi'an 710071,China)

机构地区：[1]中国电子科技集团公司第三十八研究所,合肥230088 [2]孔径阵列与空间探测安徽省重点实验室,合肥230088 [3]西安电子科技大学雷达信号处理国家重点实验室,西安710071

出　　处：《现代雷达》2020年第2期48-53,共6页Modern Radar

基　　金：国家自然科学基金资助项目(618713093);国家留学基金委全额资助项目(201706965034);陕西省自然科学基础研究计划资助项目(2017JM61031);陕西省科协青年人才托举计划资助项目(20160205);111引智计划资助项目(B18039)。

摘　　要：非高斯海杂波背景下雷达目标检测一直是研究的重点。海杂波分布参数形式的多样化使得检测器对杂波平均功率的恒虚警特性无法保证,因此文中对描述非高斯海杂波的K分布、广义Pareto分布和逆高斯纹理复合高斯分布的参数形式进行了规范化,得到了规范化后的三种杂波分布对应的最优相干检测器。理论分析和实验验证了三个自适应检测器分别对杂波平均功率、目标多普勒频率和散斑协方差矩阵具有恒虚警特性。仿真实验表明:散斑协方差矩阵估计方法和辅助数据的数量均影响着自适应检测器的检测概率和虚警概率。Detection of radar targets in non-Gaussian sea clutter background is the focus of research. Diversification of clutter distributions can’t ensure the constant false alarm ratio(CFAR) of detectors with respect to the clutter power mean,so the K-distribution,the generalized Pareto distribution and the compound-Gaussian distribution with inverse-Gaussian texture are normalized.Then three optimal coherent detectors corresponding to the three clutter distribution models are obtained. Theoretical analysis and experimental results prove that three adaptive detectors have the CFAR properties with respect to the clutter power mean,the target Doppler frequency and the speckle covariance matrix,respectively. The simulation results also show that the estimation methods of speckle covariance matrix and the number of secondary data affect the probability of detection and false alarm.

关 键 词：自适应相干检测 非高斯特性 复合高斯 最优相干检测器 

分 类 号：TN957.51[电子电信—信号与信息处理]