Reduced-rank space-time adaptive detection for airborne radar  

作　　者：WANG YongLiang LIU WeiJian XIE WenChong ZHAO YingJun 

机构地区：[1]Key Research Lab,Wuhan Radar Academy [2]College of Electronic Science and Engineering,National University of Defense Technology

出　　处：《Science China(Information Sciences)》2014年第8期98-108,共11页中国科学（信息科学）（英文版）

基　　金：supported in part by National Natural Science Foundation of China (Grant No.60925005,61102169)

摘　　要：For airborne radar, there are usually insufficient independent and identically distributed （IID） train- ing data because of geometric considerations and terrain variations. The rank reduction technique is one of the most effective approaches to circumvent this problem. In this study, we investigate four reduced-rank space- time adaptive detectors for airborne radar, namely, the reduced-rank sample-matrix-inversion （RR-SMI）, the reduced-rank adaptive matched filter （RR-AMF）, the reduced-rank adaptive coherence estimator （RR-ACE）, and the reduced-rank generalized likelihood ratio test （RR-GLRT）. Their asymptotic analytical probabilities of detection （PD＇s~ and false alarm （PFA＇s） are all derived. These detectors all asyn, ptotically attain a constant false alarm rate （CFAR）. It is shown that these four reduced-rank detectors exhibit detection performance which is better than or comparable to that of two existing reduced-rank detectors, proposed by Reed and Gau （RG1 and RG2）. Moreover, these four reduced-rank detectors are more robust to change in power of clutter and noise than RGI and RG2.For airborne radar, there are usually insufficient independent and identically distributed （IID） train- ing data because of geometric considerations and terrain variations. The rank reduction technique is one of the most effective approaches to circumvent this problem. In this study, we investigate four reduced-rank space- time adaptive detectors for airborne radar, namely, the reduced-rank sample-matrix-inversion （RR-SMI）, the reduced-rank adaptive matched filter （RR-AMF）, the reduced-rank adaptive coherence estimator （RR-ACE）, and the reduced-rank generalized likelihood ratio test （RR-GLRT）. Their asymptotic analytical probabilities of detection （PD＇s~ and false alarm （PFA＇s） are all derived. These detectors all asyn, ptotically attain a constant false alarm rate （CFAR）. It is shown that these four reduced-rank detectors exhibit detection performance which is better than or comparable to that of two existing reduced-rank detectors, proposed by Reed and Gau （RG1 and RG2）. Moreover, these four reduced-rank detectors are more robust to change in power of clutter and noise than RGI and RG2.

关 键 词：airborne radar constant false alarm rate （CFAR） rank reduction space-time adaptive detection（STAD） space-time adaptive processing （STAP） target detection 

分 类 号：TN959.73[电子电信—信号与信息处理] TM714.3[电子电信—信息与通信工程]