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

被引：4

作者：

Shi Hongyin ^{[1
]}

Yang Xiaoyan ^{[1
]}

Zhou Qiuxiao ^{[1
]}

Lian Qiusheng ^{[1
]}

机构：

[1] Yanshan Univ, Coll Informat Sci & Engn, Qinhuangdao 066004, Peoples R China

来源：

CHINESE JOURNAL OF ELECTRONICS | 2017年 / 26卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Synthetic aperture radar; Slow moving target imaging; Phase retrieval; Over-sampling smooth; PHASE RETRIEVAL; VELOCITY ESTIMATION;

D O I：

10.1049/cje.2017.06.005

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel Synthetic aperture radar (SAR) signal processing technique has been proposed which re-focused 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.

引用

页码：876 / 882

页数：7

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