• DocumentCode
    641610
  • Title

    A compressed sensing method for a wider swath in synthetic aperture imaging

  • Author

    Huichen Yan ; Jia Xu ; Shibao Peng ; Xudong Zhang

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    14-16 April 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a novel synthetic aperture imaging method based on compressed sensing (CS) is presented. The method, employing a novel sampling matrix, provides a new sampling scheme to prevent from azimuth ambiguity in wider imaging swath observation. With fewer azimuth observations, the method provides acceptable imaging results and solves the ambiguity problem successfully. The novel method requires no modification to the hardware of contemporary imaging devices but lower pulse repetition frequency. It shares the advantages of reduced data amount, and no side lobe distort as well. Experiments are conducted to show the robustness of the method under a wide range of SNRs.
  • Keywords
    compressed sensing; image denoising; image sampling; matrix algebra; radar imaging; synthetic aperture radar; azimuth ambiguity prevention; compressed sensing method; noise robustness; pulse repetition frequency; sampling matrix; sampling scheme; synthetic aperture imaging method; wider imaging swath observation; Synthetic aperture imaging; azimuth ambiguity; compressed sensing; noise robustness;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar Conference 2013, IET International
  • Conference_Location
    Xi´an
  • Electronic_ISBN
    978-1-84919-603-1
  • Type

    conf

  • DOI
    10.1049/cp.2013.0196
  • Filename
    6624360