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Study of Distributed CFAR Detection Based on Local Test Statistics and Its Fusion Strategy

GUAN Jiang 1,2 ,PENG Ying ning 2,HE You 1(1 Department of Electronic Engineering,Naval Aeronautical Engineering Academy,Yantai 264001,China; 2 Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)  
This paper studies the optimization problem in Neyman Pearson(NP) sense in distributed CFAR detection.The difference of optimization between the distributed CFAR detection based on binary local decision and local test statistic (LTS) is elaborated.R and S type LTSs are proposed.It is proved that the optimal distributed CFAR detection based on the above two LTSs in NP sense is in form of likelihood ratio test (LRT).Their suboptimal fusion schemes are developed (OS R GLRT and OS S CA).The results show that suboptimal fusion schemes could attain similar performance to that of optimal fusion.
【Fund】: 国防科研基金资助课题
【CateGory Index】: TN957.51
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