Mainlobe jamming suppression via improved BSS method for rotated array radar

作     者：ZHANG Hailong ZHANG Gong XUE Biao YUAN Jiawen ZHANG Hailong;ZHANG Gong;XUE Biao;YUAN Jiawen

作者机构：Key Laboratory of Radar Imaging and Microwave PhotonicsMinistry of EducationNanjing University of Aeronautics and AstronauticsNanjing 210016China Nanjing Marine Radar InstituteNanjing 211153China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2022年第33卷第6期

页      面：1151-1158页

核心收录：

学科分类：11[军事学] 080904[工学-电磁场与微波技术] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 110503[军事学-军事通信学] 0810[工学-信息与通信工程] 1105[军事学-军队指挥学] 1104[军事学-战术学] 082601[工学-武器系统与运用工程] 081105[工学-导航、制导与控制] 0826[工学-兵器科学与技术] 0802[工学-机械工程] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(62271255,61871218,61801211) the Fundamental Research Funds for the Central Universities(3082019NC2019002,NG2020001,NP2014504) the Open Research Fund of State Key Laboratory of Space-Ground Integrated Information Technology(2018_SGIIT_KFJJ_AI_03) the Funding of Postgraduate Research Practice&Innovation Program of Jiangsu Province(KYCX200201) the Open Research Fund of the Key Laboratory of Radar Imaging and Microwave Photonics(Nanjing University of Aeronautics and Astronautics),Ministry of E ducation(NJ20210001) 

主　　题：mainlobe jamming blind signal separation(BSS) robust principal component analysis(RPCA) peak to average power ratio(PAPR) 

摘      要：This study deals with the problem of mainlobe jamming suppression for rotated array *** interference becomes spatially nonstationary while the radar array rotates,which causes the mismatch between the weight and the snapshots and thus the loss of target signal to noise ratio(SNR)of pulse *** this paper,we explore the spatial divergence of interference sources and consider the rotated array radar anti-mainlobe jamming problem as a generalized rotated array mixed signal(RAMS)model *** the corresponding algorithm improved blind source separation(BSS)using the frequency domain of robust principal component analysis(FDRPCA-BSS)is proposed based on the established rotating *** can eliminate the influence of the rotating parts and address the problem of loss of ***,the measured peakto-average power ratio(PAPR)of each separated channel is performed to identify the target echo channel among the separated *** results show that the proposed method is practically feasible and can suppress the mainlobe jamming with lower loss of SNR.