Novel ISAR autofocusing method based on Bayesian inference

Novel ISAR autofocusing method based on Bayesian inference

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...

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Bibliographic Details
Main Authors: Xueru Bai, Ge Wang
Format: Article
Language:English
Published: Wiley 2019-07-01
Series:The Journal of Engineering
Subjects:
Bayes methods
radar imaging
synthetic aperture radar
inference mechanisms
statistical analysis
radar computing
Bayesian inference
ISAR imaging
statistical model
image autofocusing
closed-form solution
signal-to-noise ratio
SNR
ISAR autofocusing method
hierarchical sparse-promoting priors
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0342

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0342

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