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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
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)
关键词
有源假目标
极化
目标识别
统计分布
active- decoy
polarization
recognition
statistical distribution
