Novel ISAR autofocusing method based on Bayesian inference | Zendy

Bai Xueru | Zendy; Wang Ge | Zendy

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Novel 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 , computation , inference , signal to noise ratio (imaging) , artificial intelligence , statistical inference , 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.

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