基于IPPV的真假目标极化鉴别算法  

A New Polarization Discrimination Algorithm for Active Decoy and Radar Target Based on IPPV

作　　者：李永祯[1] 王雪松[1] 肖顺平[1] 庄钊文[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073

出　　处：《现代雷达》2004年第9期38-42,共5页Modern Radar

基　　金：国家"8 63"高技术研究发展计划项目 ( 2 0 0 2AA73 114 5 );全国优秀博士论文专项资金资助项目 ( 0 810 0 10 1);"十五"国防预研计划项目 ( 4 13 0 3 5 17)

摘　　要：针对低分辨率分时极化测量雷达体制 ,研究了弹道导弹突防过程中圆极化天线有源假目标欺骗性电子干扰的鉴别问题。首先分析了有源假目标干扰信号的极化特性 ,分别讨论了干扰信号的IPPV和雷达目标散射回波的IPPV在雷达脉冲之间的变化规律。在此基础上 ,提出了能够有效表征有源假目标和雷达目标极化特性差异的特征参量———IPPV起伏度的概念和定义 ,设计了圆极化天线有源假目标的极化鉴别算法。最后 。The identification problem of active decoy and radar target with circular polarized antenna is studied basing on the low-resolution and timesharing polarization measurement radar system in this paper. Firstly, the polarization characteristics of active decoy are analyzed and the variation of its instantaneous polarization projection vector (simplified as IPPV) has been investigated. Then the IPPV fluctuation characteristics of radar target scattered echo are also discussed. Finally, the concept of IPPV fluctuation degree, which can characterize the difference between radar target and active decoy are presented. The polarization discrimination and identification procedure of active decoy and radar target are presented. The feasibility and validity of discrimination algorithm are verified by computer simulation.

关 键 词：IPPV 目标鉴别 有源诱饵 瞬态极化 

分 类 号：TN957[电子电信—信号与信息处理]