Volume 4 Issue 4
Oct.  2015
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Article Navigation >  Journal of Radars  > 2015  >  4(4): 401-410
Xu Zhen, Wang Robert, Li Ning, et al.. A novel approach to change detection in SAR images with CNN classification[J]. Journal of Radars, 2017, 6(5): 483–491. DOI: 10.12000/JR17075
Citation: Zeng Xiang-jie, Qi Xiang-yang. Spaceborne Regional Surveillance Ground Moving Target Indication Based on Squint-TOPSAR[J]. Journal of Radars, 2015, 4(4): 401-410. doi: 10.12000/JR14130
shu

Spaceborne Regional Surveillance Ground Moving Target Indication Based on Squint-TOPSAR

DOI: 10.12000/JR14130
  • 1.

    (Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)

  • 2.

    (University of Chinese Academy of Sciences, Beijing 100039, China)

  • Received Date: 2014-11-14
  • Rev Recd Date: 2014-12-24
  • Publish Date: 2015-08-28
    Abstract
  • For military or civilian activities, it is important to monitor the direction of moving targets in a wide area. Traditional regional monitoring uses the airborne scanning mode (ScanSAR) within the limits of the national airspace. The inherent characteristics of ScanSAR do not apply to spaceborne regional monitoring. In this paper, the spaceborne regional surveillance Ground Moving Target Indication (GMTI) mode based on squint-TOPSAR is proposed. The proposed method uses the TOPSAR mode that improves the low SNR of spaceborne ScanSAR. The full-aperture imaging algorithm for squint-TOPSAR is used in data focusing. The Displaced Phase Center Antenna (DPCA) and Constant False Alarm Rate (CFAR) methods are used to accomplish the moving target indication. The relation between the interferometric phase and the speed of moving target is used to estimate the speed of the moving target and mark the target location in the SAR image. The differences between real and simulation data are analyzed. The simulation results demonstrate the effectiveness of the proposed method.

     

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