Open AccessSuboptimal aperture radar imaging by combination of pseudo‐polar formatting and gridless sparse recovery method
Author(s) -
Bao Qian,
Peng Xueming,
Lin Yun,
Zhang Bingchen,
Hong Wen
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.0234
Subject(s) - disk formatting , inverse synthetic aperture radar , computer science , synthetic aperture radar , azimuth , compressed sensing , radar imaging , algorithm , side looking airborne radar , computer vision , artificial intelligence , radar , optics , radar engineering details , telecommunications , physics , operating system
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.