Open AccessNovel ISAR autofocusing method based on Bayesian inference
Author(s) -
Bai Xueru,
Wang Ge
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0342
Subject(s) - computer science , bayesian probability , inverse synthetic aperture radar , bayesian inference , prior probability , inference , computation , statistical inference , artificial intelligence , signal to noise ratio (imaging) , pattern recognition (psychology) , statistical model , algorithm , radar imaging , mathematics , statistics , radar , telecommunications
To achieve well‐focused ISAR imaging with low signal‐to‐noise ratio (SNR), this study constructs a statistical model and derives an effective method for image autofocusing based on Bayesian inference. Particularly, hierarchical sparse‐promoting priors are imposed on the weights, which are conjugate to the likelihood. The method has closed‐form solution which facilitates computation. Experimental results have demonstrated the effectiveness of the method in low SNR and short aperture scenarios.