基于极化变换的改进极化滤波抗干扰算法  

Improved Polarization Filtering Anti-interference Algorithm Based on Polarization Transformation

作　　者：谢莉 张志强 李然 张钧 XIE Li;ZHANG Zhiqiang;LI Ran;ZHANG Jun(Beijing Institute of Remote Sensing Device,Beijing 100854,China;Beijing Institute of Radio Measurement,Beijing 100854,China)

机构地区：[1]北京遥感设备研究所,北京100854 [2]北京无线电测量研究所,北京100854

出　　处：《制导与引信》2025年第1期1-8,31,共9页Guidance & Fuze

摘　　要：针对低信干比条件下传统极化滤波算法难以正确估计干扰的极化状态,导致极化滤波性能下降的问题,提出了基于极化变换的改进极化滤波抗干扰算法。对双极化接收通道的信号进行线性极化矢量变换,将目标信号的极化状态集中在同极化附近,同时采用匹配滤波方法将极化变换后同极化通道的混合信号在时域上进行区分,再对极化校正后的干扰信号进行极化状态提取,最终实现干扰信号的极化滤波。测试与仿真结果表明:利用改进极化滤波算法提取的干扰极化状态误差明显小于采用传统算法提取的干扰极化状态误差,低信干比下的干扰抑制能力也显著提高。Aiming at the problem that polarization filtering algorithms were difficult to accurately estimate the polarization state of interference in low signal-to-interference ratio,leading to degradation of polarization filtering performance,an improved polarization filtering anti-interference algorithm based on polarization transformation was proposed.The signals of the dual polarization receiving channel were performed linear polarization vector transform,the polarization state of the target signal was concentrate near the same polarization,and the mixed signal of the same polarization channel after polarization transformation was distinguished in the time domain using matching filtering method.Then,the polarization state of the interference signal after polarization correction was extracted,and polarization filtering of the interference signal was achieved finally.The test and simulation results show that the interference polarization state error extracted by the improved polarization filtering algorithm is significantly smaller than that extracted by the traditional algorithm,and the interference suppression effect under low signal-to-interference radio is improved significantly.

关 键 词：极化变换 极化滤波 抗干扰 低信干比 

分 类 号：TN957.52[电子电信—信号与信息处理]