SAR Slow Moving Target Imaging Based on Over-Sampling Smooth Algorithm

A novel Synthetic aperture radar(SAR)signal processing technique has been proposed which refocused slow moving targets based on phase retrieval algorithm. After theoretical derivation, we can get that the raw data Fourier magnitude of slow moving targets is approximate to the stationary ones in the...

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Bibliographic Details
Published in电子学报：英文版 no. 4; pp. 876 - 882
Main Author SHI Hongyin YANG Xiaoyan ZHOU Qiuxiao LIAN Qiusheng
Format Journal Article
LanguageEnglish
Published 2017
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Summary:A novel Synthetic aperture radar(SAR)signal processing technique has been proposed which refocused slow moving targets based on phase retrieval algorithm. After theoretical derivation, we can get that the raw data Fourier magnitude of slow moving targets is approximate to the stationary ones in the SAR system. By applying the Fourier magnitude of received data to phase retrieval algorithms, the blur and defocusing effect caused by the moving of the targets can be eliminated. The simulated results demonstrate the validity of this algorithm.
Bibliography:SHI Hongyin;YANG Xiaoyan;ZHOU Qiuxiao;LIAN Qiusheng;College of Information Science and Engineering, Yanshan University
10-1284/TN
ISSN:1022-4653