A Sparse Bayesian Approach for Forward-Looking Superresolution Radar Imaging

A Sparse Bayesian Approach for Forward-Looking Superresolution Radar Imaging

This paper presents a sparse superresolution approach for high cross-range resolution imaging of forward-looking scanning radar based on the Bayesian criterion. First, a novel forward-looking signal model is established as the product of the measurement matrix and the cross-range target distribution...

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Bibliographic Details
Main Authors: Yin Zhang, Yongchao Zhang, Yulin Huang, Jianyu Yang
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Sensors
Subjects:
forward-looking imaging
Bayesian criterion
sparse regularization
Online Access:http://www.mdpi.com/1424-8220/17/6/1353

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