Clustered Sparsity-Driven SAR Imaging and Autofocus Algorithm in Structured Phase-Noisy Environments

Clustered Sparsity-Driven SAR Imaging and Autofocus Algorithm in Structured Phase-Noisy Environments

This paper presents a novel synthetic aperture radar (SAR) imaging and autofocus algorithm by exploiting the clustering property of the sparse scene in structured phase-noisy environments. The SAR imaging and autofocus problem are reformulated in a Bayesian framework where a clustered sparsity-induc...

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Bibliographic Details
Main Authors: Yue Yang, Xuejing Zhang, Guan Gui, Qun Wan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Synthetic aperture radar (SAR)
phase noise
Markov random fields (MRF)
multivariate Von Mises distribution
variational Bayesian expectation-maximization (VBEM)
Online Access:https://ieeexplore.ieee.org/document/8710334/

Internet

https://ieeexplore.ieee.org/document/8710334/

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