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

SHI Hongyin; YANG Xiaoyan; ZHOU Qiuxiao; LIAN Qiusheng

doi:10.1049/cje.2017.06.005

Volume 26 Issue 4

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Article Navigation > Chinese Journal of Electronics > 2017 > 26(4): 876-882

SHI Hongyin, YANG Xiaoyan, ZHOU Qiuxiao, et al., “SAR Slow Moving Target Imaging Based on Over-Sampling Smooth Algorithm,” Chinese Journal of Electronics, vol. 26, no. 4, pp. 876-882, 2017, doi: 10.1049/cje.2017.06.005

Citation:

SHI Hongyin, YANG Xiaoyan, ZHOU Qiuxiao, et al., “SAR Slow Moving Target Imaging Based on Over-Sampling Smooth Algorithm,” Chinese Journal of Electronics, vol. 26, no. 4, pp. 876-882, 2017, doi: 10.1049/cje.2017.06.005

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

doi: 10.1049/cje.2017.06.005

College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61571388, No.61471313), and the Nature Science Foundation of Hebei Province (No.F₂016203251).

Received Date: 2015-08-27
Rev Recd Date: 2016-03-20
Publish Date: 2017-07-10

Abstract

Abstract

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.
- Synthetic aperture radar,
- Slow moving target imaging,
- Phase retrieval,
- Over-sampling smooth

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References(22)

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