Suboptimal aperture radar imaging by combination of pseudo‐polar formatting and gridless sparse recovery method. Issue 9 (8th April 2016)

• Record Type: Journal Article
• Authors: Bao, Qian; Peng, Xueming; Lin, Yun; Zhang, Bingchen; Hong, Wen
• Is Part Of: Electronics letters. Volume 52:Issue 9(2016)
• Page Start: 765
• Page End: 766
• Publication Date: 2016-04-08
• Subjects: radar imaging -- image resolution -- minimisation -- synthetic aperture radar; suboptimal aperture radar imaging -- pseudopolar formatting -- gridless sparse recovery method -- suboptimal aperture length -- azimuth resolution -- limited aperture length -- sparse nonuniform linear array configuration -- echo signal -- reweighted atomic norm minimisation -- azimuth imaging -- off‐grid effect -- ground‐based synthetic aperture radar; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2016.0234
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Imaging radar with a suboptimal aperture length usually has a poor azimuth resolution due to the limited aperture length and sparse non‐uniform linear array configuration. To address this problem, an imaging algorithm combining pseudo‐polar formatting and gridless sparse recovery method is proposed. After pseudo‐polar formatting the echo signal, reweighted atomic norm minimisation is implemented for azimuth imaging to achieve performance with improved resolution and free of off‐grid effect. Experiments on ground‐based synthetic aperture radar verify the performance of the proposed algorithm.