有源假目标极化识别方案的设计与性能分析  

Algorithm Designing and Performance Evaluating of Polarization Recognition of Active-Decoys and Radar Targets

作　　者：李永祯[1] 王国玉 汪连栋 刘进[1] 王雪松[1] 

机构地区：[1]国防科技大学电子科学与工程学院 [2]解放军63880部队

出　　处：《电子学报》2007年第9期1642-1646,共5页Acta Electronica Sinica

基　　金：全国优秀博士论文专项资金资助项目(No.08100101)

摘　　要：本文研究了有源多假目标的极化识别及其性能评估问题.首先给出了极化雷达对目标和有源假目标干扰的接收信号模型,然后根据有源真假目标回波特性的差异提出了识别检验量,并给出了有源假目标的极化识别方案.最后,研究了识别检验量的统计特性,从理论上分析、评估了真假目标极化识别的性能.The problem of algorithm designing and performance evaluating of polarization recognition of active-decoys and radar targets is studied. Firstly, the received signal models of radar targets and active-decoys to polarimetric radar are presented. Secondly, two local identification statistical tests based on the differences of active-decoys and radar targets are derived. Thirdly, a po- larization identification scheme of active-decoys is represented. Finally, statistics of two local identification tests are discussed and the performance of polarization identification algorithm is theoretically analyzed and evaluated.

关 键 词：有源假目标 极化 目标识别 统计分布 

分 类 号：TN957[电子电信—信号与信息处理]