Cascaded interference suppression method based on sparse representation for airborne passive radar. Issue 1 (1st January 2018)

• Record Type: Journal Article
• Authors: Deng, Yaqi; Wang, Jun; Wang, Jue; Lyv, Xiaoyong
• Is Part Of: IET radar, sonar & navigation. Volume 12:Issue 1(2018)
• Page Start: 104
• Page End: 111
• Publication Date: 2018-01-01
• Subjects: interference suppression -- passive radar -- airborne radar -- computational complexity; cascaded interference suppression method -- sparse representation -- airborne passive radar -- interference signals -- RRSC covariance matrix -- computational complexity; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2017.0152
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : In this study, a novel cascaded interference suppression method based on sparse representation (SR) is proposed for a passive airborne radar, which suffers from severe background interference due to the random range side‐lobes coupling (RRSC) effect of the strong interference signals. The sparse nature of the RRSC covariance matrix is analysed and the SR is integrated into the proposed method accordingly, which reduces the computational complexity greatly without degrading the performance in interference suppression. Moreover, the proposed method is insensitive to the selection of the suppression order, which should be carefully selected in the traditional methods according to the prior information of the interference signals. A range of simulations have been conducted in the study to test the proposed method.