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  

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

作　　者：赵文静[1] 刘畅[1,2] 刘文龙[1] 金明录[1] ZHAO Wenjing;LIU Chang;LIU Wenlong;JIN Minglu(School of Information and Communication Engineering,Dalian University of Technology,Dalian 116024,China;School of Communication and Information Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]大连理工大学信息与通信工程学院,大连116024 [2]电子科技大学通信与信息工程学院,成都611731

出　　处：《电子与信息学报》2018年第9期2235-2241,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(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。Information geometry based matrix Constant False Alarm Rate （CFAR） detector is an efficient solution to the intractable issue of target detection for K-distributed sea clutter environment. However, most existing matrix CFAR detectors cost heavy computation complexity, which leads to a limitation in practical application. Based on the Neyman-Pearson criterion, the Likelihood Ratio Test （LRT） is analyzed, the relationship between LRT statistic and the Maximum Eigenvalue is derived, and Matrix CFAR Detection method based on the Maximum Eigenvalue （M-MED） is designed. Simulation results verify that the proposed method can achieve better detection performance with relatively lower computational complexity.

关 键 词：恒虚警检测 K分布 最大特征值 

分 类 号：TN957.51[电子电信—信号与信息处理]