DocumentCode :
3677602
Title :
ISAR imaging for micromotion targets using the hierarchical Bayesian prior
Author :
Lin Sun;Tianyun Wang;Xinfei Lu;Weidong Chen
Author_Institution :
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Department of EEIS, University of Science and Technology of China, Hefei, Anhui, P.R. China
fYear :
2015
Firstpage :
545
Lastpage :
549
Abstract :
The micromotion of structures in a target may introduce a micro-Doppler (m-D) effect in the inverse synthetic aperture radar (ISAR) imaging, which contaminates the main body image of the classical range Doppler algorithm (RDA). This paper proposes a novel imaging method for micromotion targets, which assigns a hierarchical Bayesian prior to the element in the range profile, for the purpose of promoting the sparsity and maintaining the continuity pattern along the slow time dimension. To overcome the intractability of the posterior distribution, the Gibbs sampler is utilized to achieve the Bayesian inference. Subsequently, the range profile can be estimated from the expectation of the conditional posterior distribution, then a clear ISAR image can be obtained after cross compression. Experimental results validate the performance of the proposed method.
Keywords :
"Bayes methods","Imaging","Yttrium","Radar imaging","Image coding","Estimation","Doppler effect"
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2015 IEEE 5th Asia-Pacific Conference on
Type :
conf
DOI :
10.1109/APSAR.2015.7306268
Filename :
7306268
Link To Document :
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