Volume 1 Issue 3
Sep.  2012
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ISAR Sparse Aperture Imaging Algorithm for Large Size Target

  • Received Date: 2012-05-10
    Accepted Date: 2012-08-13
    Fund Project:

    null

  • A novel algorithm for larger size target imaging in sparse aperture is presented in this paper for Inverse Synthetic Aperture Radar (ISAR). In the proposed method, azimuth compressing is done in the range frequency domain to avoid Migration Through Range Cell (MTRC), and Compress Sensing (CS) is introduced to take place of FFT to reduce the Peak Side Lobe Ratio (PSLR), meanwhile a basis matrix changing with the range frequency is constructed to eliminate the coupling between range frequency and azimuth time. Simulation results validate the feasibility of the approach.
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通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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ISAR Sparse Aperture Imaging Algorithm for Large Size Target

    Corresponding author:
  • 1. (Key Laboratory of Spatial Information Processing and Application System Technology,
  • 2. Chinese Academy of Sciences, Beijing 100190, China)
  • 3. (Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
Fund Project:  null

Abstract: A novel algorithm for larger size target imaging in sparse aperture is presented in this paper for Inverse Synthetic Aperture Radar (ISAR). In the proposed method, azimuth compressing is done in the range frequency domain to avoid Migration Through Range Cell (MTRC), and Compress Sensing (CS) is introduced to take place of FFT to reduce the Peak Side Lobe Ratio (PSLR), meanwhile a basis matrix changing with the range frequency is constructed to eliminate the coupling between range frequency and azimuth time. Simulation results validate the feasibility of the approach.

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