A SAR-GMTI Approach Based on Moving Target Focusing

WEI Beiyu; ZHU Daiyin; WU Di

doi:10.11999/JEIT151036

Volume 38 Issue 7

Jul. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(7): 1738-1744

WEI Beiyu, ZHU Daiyin, WU Di. A SAR-GMTI Approach Based on Moving Target Focusing[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1738-1744. doi: 10.11999/JEIT151036

Citation:

WEI Beiyu, ZHU Daiyin, WU Di. A SAR-GMTI Approach Based on Moving Target Focusing[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1738-1744. doi: 10.11999/JEIT151036

WEI Beiyu, ZHU Daiyin, WU Di. A SAR-GMTI Approach Based on Moving Target Focusing[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1738-1744. doi: 10.11999/JEIT151036

Citation:

WEI Beiyu, ZHU Daiyin, WU Di. A SAR-GMTI Approach Based on Moving Target Focusing[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1738-1744. doi: 10.11999/JEIT151036

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A SAR-GMTI Approach Based on Moving Target Focusing

doi: 10.11999/JEIT151036 cstr: 32379.14.JEIT151036

Funds:

The National Natural Science Foundation of China (61301212), Defense Industrial Technology Development Program (B2520110008), Aeronautical Science Foundation of China (20132052030), China Postdoctoral Science Foundation (2012M511750), NUAA Fundamental Research Funds (NS2013023), Priority Academic Program Development of Jiangsu Higher Education Institutions

Received Date: 2015-09-14
Rev Recd Date: 2016-02-19
Publish Date: 2016-07-19

Abstract

Abstract

Due to the low Signal to Clutter Noise Ratio (SCNR), the residual stationary targets in a clutter suppressed multichannel Ultra-High Frequency (UHF) band Synthetic Aperture Radar (SAR) image may lead to an unacceptable false alarm rate. A method of moving target screening is presented in this paper, which can determine whether the target detected by the Constant False Alarm Rate (CFAR) detector is a real moving one. A moving target data recovery method is described, which can recover the Doppler phase history of any isolated target within a full-K SAR image. The recovered data is processed again into a sub-image by range Doppler processing, and the sub-image is refocused with azimuth autofocus processing. The sub-image will not change after refocusing if the target in it is a stationary one, and it will be refocused if the target is a moving one. The false moving target can be eliminated by detecting this change. The proposed method is demonstrated on simulated and real SAR Ground Moving Target Indication (GMTI) data.
- Synthetic Aperture Radar (SAR),
- -K algorithm,
- Ground Moving Target Indication (GMTI),
- Ultra- High Frequency (UHF) band radar

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References(20)

References

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