Open AccessImaging algorithm for multi‐channel scan synthetic aperture radar with channel error estimation and compensation
Author(s) -
Xiao Feng,
Ding Zegang,
Ke Meng
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0288
Subject(s) - computer science , synthetic aperture radar , channel (broadcasting) , compensation (psychology) , algorithm , radar imaging , inverse synthetic aperture radar , computer vision , side looking airborne radar , artificial intelligence , remote sensing , radar , geology , bistatic radar , telecommunications , psychology , psychoanalysis
The wide swath synthetic aperture radar (SAR) imaging with a fine resolution is fundamentally a contradiction in conventional SAR imaging. To meet the demand of high‐resolution width swath (HRWS) imaging, multi‐channel scan mode has received a great deal of attention as a promising concept to realise HRWS observation. In this article, based on extended Chirp Scaling algorithm, an imaging algorithm for multi‐channel scan SAR is proposed. Furthermore, channel error estimation and compensation are the key point in multi‐channel scan imaging and are integrated into the proposed imaging algorithm. The computer simulation is shown to verify the presented imaging algorithm.