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

作     者：Wang, Zhigang He, Jin Shu, Ting Zhang, Ning Lu, Xiang Wang, Junfeng Truong, Trieu-Kien 

作者机构：Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China Nanjing Marine Radar Inst Nanjing 211153 Peoples R China Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Key Lab Intelligent Sensing & Recognit Shanghai 200240 Peoples R China Nanjing Marine Radar Inst Nanjing 211153 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON RADAR SYSTEMS》 (IEEE Trans. Radar Syst.)

年 卷 期：2025年第3卷

页      面：247-259页

核心收录：

基　　金：Natural Science Foundation of Shanghai [24ZR1431700] National Natural Science Foundation of China 

主　　题：Jamming Radar Vectors Radar antennas Antenna arrays Transmission line matrix methods Radar signal processing Array signal processing Signal processing algorithms Estimation Covariance matrix reconstruction (CMR) digital array radar (DAR) dual-polarized radar jamming suppression polarization estimation radar electronic warfare 

摘      要：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.