• DocumentCode
    739101
  • Title

    Wideswath synthetic aperture radar ground moving targets indication with low data rate based on compressed sensing

  • Author

    Shengqi Zhu ; Guisheng Liao ; Weiwei Wang ; Cao Zeng ; Dong Yang

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • Volume
    7
  • Issue
    9
  • fYear
    2013
  • fDate
    12/1/2013 12:00:00 AM
  • Firstpage
    1027
  • Lastpage
    1034
  • Abstract
    Wideswath synthetic aperture radar/ground moving targets indication (SAR/GMTI) system increases severely data transmission and storage load. To mitigate this problem, a wideswath GMTI method based on compressed sensing (CS) is proposed. In this method, CS is utilised to process each SAR data sampled sparsely in the azimuth direction for multiple aperture systems after conventional range compression. Then the wavelet transform matrix is used to construct the sparse matrix. Each SAR image is unambiguously achieved by solving l1 norm optimisation problem in the azimuth. The clutter rejection is performed for all spatial SAR images and then moving targets can be well detected. In this way, the data rate together with storage load is reduced, and then the wideswath GMTI can be efficiently realised. Results of real measured and simulated SAR data processing demonstrate the effectiveness of the CS-based wideswath GMTI.
  • Keywords
    compressed sensing; data communication; radar clutter; radar imaging; sparse matrices; synthetic aperture radar; target tracking; wavelet transforms; CS-based wideswath GMTI; SAR data processing; SAR image; SAR-GMTI system; azimuth direction; clutter rejection; compressed sensing; data transmission; low data rate; multiple aperture system; sparse matrix; storage load; wavelet transform matrix; wideswath synthetic aperture radar ground moving target indication;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2012.0266
  • Filename
    6684220