• DocumentCode
    232191
  • Title

    MIMO-SAR ground moving target imaging in HRWS mode

  • Author

    Chao Xie ; Libao Wang ; Dangwei Wang ; Ling Wang ; Yanfeng He

  • Author_Institution
    Air Force Early Warning Acad., Wuhan, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    2153
  • Lastpage
    2157
  • Abstract
    This paper proposes a novel method for MIMO-SAR ground moving target imaging in HRWS Mode. In order to compensate the periodically modulated error signal in Doppler history due to the radial velocity of moving target, the compressed sensing theory is used to estimate radial velocity in undersampled signal firstly. Then, the compensation signal is formed with radical velocity to remove error signal in the whole Doppler signal. Finally, ground moving target imaging is achieved by using focusing function of moving target. The numerical experiments are provided to demonstrate the effectiveness of the proposed method.
  • Keywords
    Doppler radar; MIMO radar; compressed sensing; object detection; radar imaging; synthetic aperture radar; Doppler signal; HRWS mode; MIMO-SAR; compressed sensing theory; error signal; ground moving target imaging; radial velocity; Azimuth; Compressed sensing; Dictionaries; Doppler effect; Image reconstruction; Imaging; Synthetic aperture radar; HRWS; MIMO-SAR; compressed sensing; moving target;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015376
  • Filename
    7015376