Main lobe jamming suppression via blind source separation sparse signal recovery with subarray configuration. Issue 3 (12th February 2020)

• Record Type: Journal Article
• Authors: Ge, Mengmeng; Cui, Guolong; Yu, Xianxiang; Kong, Lingjiang
• Is Part Of: IET radar, sonar & navigation. Volume 14:Issue 3(2020)
• Page Start: 431
• Page End: 438
• Publication Date: 2020-02-12
• Subjects: direction‐of‐arrival estimation -- blind source separation -- radar signal processing -- jamming; sparse signal recovery -- modern radar systems -- multiple main lobe jammings -- directions of arrival estimation -- blind source separation -- jamming signals -- separated target signals -- signal recovery approach -- DOA estimation -- main lobe jamming suppression -- specific subarray configuration -- numerical simulations; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2019.0500
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : The performance of the modern radar systems will degrade significantly in the presence of main lobe jamming. In this study, a new methodology is introduced to suppress multiple main lobe jammings while accomplishing the directions of arrival (DOAs) estimation of the multiple targets. Specifically, the signal model of a specific subarray configuration accounting for jamming and target signals is developed. Then, blind source separation method is utilised to separate the target and jamming signals in each subarray. Furthermore, the separated target signals of all subarrays are jointly imposed to estimate DOAs of targets through resorting to sparse signal recovery approach. Finally, numerical simulations are provided to assess the performance of the proposed algorithm exhibiting the favourable capabilities in terms of the strong main lobe jamming suppression and the DOAs estimation of multiple targets.