Open Access2D spatial‐variant phase errors compensation for ISAR imagery based on contrast maximisation
Author(s) -
Darong Huang,
Cunqian Feng,
Ningning Tong,
Yiduo Guo
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.2016.1595
Subject(s) - autofocus , synthetic aperture radar , computer science , inverse synthetic aperture radar , azimuth , contrast (vision) , phase (matter) , computer vision , motion compensation , artificial intelligence , convergence (economics) , radar imaging , algorithm , range (aeronautics) , radar , focus (optics) , optics , engineering , telecommunications , physics , quantum mechanics , aerospace engineering , economic growth , economics
Range and azimuth spatial‐variant phase errors are usually presented in high‐resolution inverse synthetic aperture radar imagery as the manoeuvring motion of the observed targets. It could not be effectively compensated by the traditional autofocus algorithms. A new method is proposed for 2D spatial‐variant phase errors compensation based on contrast maximisation. First, a novel phase error parametrical signal model is established. Then, image contrast is introduced as a cost function, and an iterative, modified gradient‐based method is used to solve a maximal contrast optimisation problem. The proposed method has a good convergence within a few iterations. The public data provided by the Naval Research Laboratory is utilised to confirm the effectiveness and superiorities of the proposed method.