Volume 9 Issue 2
May  2020
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ZHANG Shuangxi, QIAO Ning, XING Mengdao, et al. A novel clutter suppression approach for the space-borne multiple channel in the azimuth high-resolution and wide-swath SAR-GMTI system with an ambiguous Doppler spectrum[J]. Journal of Radars, 2020, 9(2): 295–303. doi: 10.12000/JR20005
Citation: ZHANG Shuangxi, QIAO Ning, XING Mengdao, et al. A novel clutter suppression approach for the space-borne multiple channel in the azimuth high-resolution and wide-swath SAR-GMTI system with an ambiguous Doppler spectrum[J]. Journal of Radars, 2020, 9(2): 295–303. doi: 10.12000/JR20005

A Novel Clutter Suppression Approach for the Space-borne Multiple Channel in the Azimuth High-resolution and Wide-swath SAR-GMTI System with an Ambiguous Doppler Spectrum

doi: 10.12000/JR20005
Funds:  The National Natural Science Foundation of China (61801387), The Postdoctoral Science Foundation of China (2019M653741), The Aeronautical Science Foundation of China (ASFC-20172053018)
More Information
  • Corresponding author: ZHANG Shuangxi, zhangsx@nwpu.edu.cn
  • Received Date: 2020-01-13
  • Rev Recd Date: 2020-02-24
  • Available Online: 2020-03-07
  • Publish Date: 2020-04-01
  • A low pulse repletion frequency is required and an ambiguous Doppler spectrum should be considered to obtain a high-resolution and wide-swath Synthetic Aperture Radar-Ground Moving Target Indication (SAR-GMTI) system in the azimuth direction. In this study, we have proposed a novel clutter suppression approach, where the Doppler spectrum of the single channel echo is ambiguous, with respect to the space-borne multiple channels in an azimuth high-resolution and wide-swath SAR-GMTI system. Initially, the azimuth deramping operation is utilized to compress the ambiguous Doppler spectrum, where the signal of clutter or the moving target is focused toward only some azimuth Doppler-frequency bins. Further, a covariance matrix corresponding to the clutter is estimated in the azimuth deramping and range compression domain. Subsequently, the matrix eigenvalue decomposition technique is employed to obtain an eigenvector corresponding to the minimum eigenvalue. Herein, we intend to achieve redundant channel freedom to ensure the suppression of clutter. The obtained eigenvector can be considered to be the orthogonality vector of the clutter space, which denotes the orthogonality with respect to the signal space vector. Hence, we adopt the obtained eigenvector to appropriately suppress the clutter. Simultaneously, the signal of the moving target can be appropriately preserved. Finally, some experiments are conducted to validate the proposed clutter suppression approach.

     

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