针对连续波雷达或高重频脉冲雷达遭受高逼真欺骗干扰的情况,研究了自适应极化滤波(APF)的抗干扰性能。首 先建立了雷达遭受欺骗干扰时回波信号的理论分析模型,然后利用卡尔曼滤波技术实时估计干扰的极化参数,最后利用 经典的极化滤波方法滤除其中的干扰信号,保留真实目标信号。当干扰与信号叠加在一起时,理论分析和仿真结果均表 明自适应极化滤波效果将受制于干扰与信号的功率比。强干扰情况下,自适应极化滤波可提高信干比,最大约50 dB;弱 干扰甚至无干扰环境下,自适应极化滤波会恶化信干比,因此自适应极化滤波的实施需要由具体的电磁环境决定。

When CW radar or high repetition frequency pulse radar is faced with deception jamming with high fidelity, adaptive polarization filter's anti-jamming performance is studied. Firstly, theoretical model of echo when radar is faced with deception jamming is established, and then Kalman filtering technique is used to estimate polarization parameters of jamming in real time. Finally, classical polarization filtering method is utilized to eliminate jamming signal and keep the true targets' signal. Because the jamming and signal are mixed together, theory analysis and simulation results all prove that input signal-to-jamming ratio affect the performance of adaptive polarization filter. In a strong jamming environment, APF can improve signal-to-jamming ratio of 50 dB maximum. In a weak jamming or no jamming environment, APF will worsen signal-to鄄jamming ratio. So whether or not to carry out APF depends on electromagnetic environment.