Polarization-Agile Jamming Suppression for Dual-Polarized Digital Array Radars

Zhigang Wang;Jin He;Ting Shu;Ning Zhang;Xiang Lu;Junfeng Wang;Trieu-Kien Truong
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Abstract

In the realm of modern radar electronic warfare, hostile jamming signals with time-variant polarization states pose a significant challenge to the performance of host radars. This article presents a signal-processing scheme specifically designed to suppress polarization-agile jamming signals in dual-polarized digital array radars (DARs). By innovatively modeling the polarization-agile jamming signal as two orthogonal linearly polarized signals sharing the same elevation-azimuth angle, a direction-cosine estimation and association algorithm tailored for such signals is derived. Furthermore, a spatial covariance matrix reconstruction (CMR) method that uniquely extracts the time-varying polarization parameters of each jamming signal is developed. Building upon this, a spatial-polarization CMR method is devised to effectively suppress all polarization-agile jamming signals. The key innovation lies in achieving adaptive polarization matching during the cancellation process, which sets this scheme apart from conventional radar signal-processing approaches. Simulation results underscore the superiority of the proposed scheme, demonstrating significant performance enhancements over commonly used methodologies.
双极化数字阵列雷达极化敏捷干扰抑制
在现代雷达电子战领域,具有时变极化状态的敌对干扰信号对主雷达的性能构成了重大挑战。提出了一种抑制双极化数字阵列雷达中极化捷变干扰信号的信号处理方案。创新性地将极化敏捷干扰信号建模为具有相同俯仰角和方位角的两个正交线极化信号,推导出了一种针对这类信号的方向余弦估计和关联算法。在此基础上,提出了一种空间协方差矩阵重构(CMR)方法,该方法可以唯一地提取每个干扰信号的时变极化参数。在此基础上,设计了一种空间极化CMR方法,可有效抑制所有极化捷变干扰信号。该方案的创新之处在于在对消过程中实现了自适应极化匹配,这使得该方案有别于传统的雷达信号处理方法。仿真结果强调了该方案的优越性,显示了比常用方法显著的性能增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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