Open AccessMulti‐radar fusion technique for high‐resolution ISAR imaging in sea‐cluttered environment
Author(s) -
Yi Liu,
Ding Dazhi,
Chen Rushan,
Tao Shifei
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0367
Subject(s) - clutter , radar , computer science , inverse synthetic aperture radar , remote sensing , radar imaging , feko , artificial intelligence , synthetic aperture radar , computer vision , radar lock on , continuous wave radar , software , geology , telecommunications , programming language
Radar imaging of the ship is one of the important means for surveillance and reconnaissance of targets. Here, the K‐distribution is used for the statistical characterisation of echo model in sea‐clutter environment. FEKO software is used to simulate the ship model. The multi‐radar data fusion technique and Sparse Bayesian learning algorithm are used to generate ISAR target images in the different levels of sea condition. The simulation results show that the multi‐radar data fusion algorithm not only has a significant inhibitory effect on sea‐clutter but also improves the radar image resolution.