Volume 9 Issue 1
Feb.  2020
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Article Navigation >  Journal of Radars  > 2020  >  9(1): 166-173
PAN Jie, WANG Shuai, LI Daojing, et al. High-resolution Wide-swath SAR moving target imaging technology based on distributed compressed sensing[J]. Journal of Radars, 2020, 9(1): 166–173. doi: 10.12000/JR19060
Citation: PAN Jie, WANG Shuai, LI Daojing, et al. High-resolution Wide-swath SAR moving target imaging technology based on distributed compressed sensing[J]. Journal of Radars, 2020, 9(1): 166–173. doi: 10.12000/JR19060
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High-resolution Wide-swath SAR Moving Target Imaging Technology Based on Distributed Compressed Sensing

DOI: 10.12000/JR19060
  • 1.

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

  • 2.

    National Key Lab of Microwave Imaging Technology, Beijing 100190, China

  • 3.

    University of Chinese Academy of Sciences, Beijing 100049, China

  • 4.

    National Time Service Center, Chinese Academy of Sciences, Xian 710600, China

Funds:  The Key Standard Technologies of National High Resolution Special (30-H30C01-9004-19/21)
More Information
  • Corresponding author: PAN Jie, panjie@aircas.ac.cn
  • Received Date: 2019-06-14
  • Rev Recd Date: 2019-11-20
    • Available Online: 2019-12-04
  • Publish Date: 2020-02-28
    Abstract
  • High-resolution wide-swath SAR moving target imaging is of great significance for target tracking. To achieve target tracking, conversional space-based multichannel SAR technology requires a large number of channels. However, this leads to high system complexity. Moreover, paired false target echoes exist in the azimuth. To address such problems, a high-resolution wide-swath SAR moving target imaging technology based on distributed compressed sensing is proposed in this paper. When the number of channels is large enough, the number of channels is approximately half of that of the conventional high-resolution wide-swath target imaging configuration channel. A distributed compressed sensing observation model is constructed using the sparse property of moving targets and the nonsparse characteristics of the clutter background. Clutter background and sparse moving targets are reconstructed by combining one-dimensional distributed compressed sensing reconstruction in the azimuth and two-dimensional distributed compressed sensing reconstruction in the range-azimuth. Moreover, the paired false target echoes in multichannel SAR moving target are suppressed. The simulation results combined with RADAR-SAT data verify the effectiveness of the proposed technology.

     

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