摘要
研究雷达极化抗干扰问题,当雷达面临敌方实施的随机极化干扰时,传统的极化滤波方法由于无法估计出干扰的极化参数,引起抗干扰性能急剧恶化。为应对快变随机极化干扰对雷达系统的巨大威胁,提出了一种新的极化加权变换的滤波方法,通过对正交双极化通道信号的加权变换,将随机极化干扰压缩到庞卡莱球上的一个很小的区域,且中心点与信号极化的状态点成交叉极化。极化加权变换后的干扰与真实信号已经接近为正交极化,可省去传统方法需要干扰极化参数估计的环节,只需采用与信号极化状态相同的Jones矢量进行极化滤波即可实现对干扰的大幅度抑制,并保证信号在滤波后无损耗。理论分析和仿真结果均验证了极化加权变换法的有效性。
When radar is faced with random polarization jamming from hostile forces, traditional polarization filte- ring methods cannot estimate the parameters of jamming signal, so their anti-jamming performance may degrade greatly. In order to counteract random polarization jamming which is a great menace to radar system, a new polariza- tion weighting method was presented in the paper. This method multiplies two orthogonal channels＇ signals with dif- ferent weights so that random polarization jamming is compressed to a small region on Poincare sphere whose center is approximately orthogonal with the polarization of target＇ s signal, so it is not necessary to estimate jamming polarizing parameters when do polarization filtering. Using a Jones vector that is the same as target＇ s polarization, jamming can be suppressed greatly after polarization filter, at the same time, the signal is lossless. The theory analysis and simula- tion results all proved this method＇s validity.
出处
《计算机仿真》
CSCD
北大核心
2013年第1期66-69,共4页
Computer Simulation
关键词
抗干扰
极化滤波
加权法
电子对抗
Anti-jamming
Polarization filter
Weighting method
ECM
