基于IPPV的真假目标极化鉴别算法

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 ,计算机仿真实验验证了本文所提鉴别算法的可行性和有效性

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

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.