• DocumentCode
    1930161
  • Title

    MIMO SAR based ground moving target indication

  • Author

    Vu, Duc ; Xu, Luzhou ; Li, Jian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    868
  • Lastpage
    872
  • Abstract
    We investigate a framework for the detection of ground moving targets using a Multiple-Input-Multiple-Output (MIMO) radar system. We look at how phase histories collected from a MIMO Synthetic Aperture Radar (SAR) system can be used for target detection in a Ground Moving Target Indication (GMTI) mode while SAR images are being formed. We propose the usage of the recently developed Iterative Adaptive Approach to detect movers and estimate their velocities in the post-Doppler domain. We show how the waveform diversity afforded by a MIMO radar system enables its superiority over its Single-Input-Multiple-Output (SIMO) counterpart.
  • Keywords
    MIMO radar; object detection; radar imaging; synthetic aperture radar; GMTI mode; MIMO SAR based ground moving target indication; MIMO radar system; MIMO synthetic aperture radar; SAR images; SIMO; ground moving targets detection; iterative adaptive approach; multiple-input-multiple-output radar system; post-Doppler domain; single-input-multiple-output; Arrays; Clutter; Image resolution; MIMO; MIMO radar; Synthetic aperture radar; Ground Moving Target Indication (GMTI); Iterative Adaptive Approach (IAA); Multiple-Input-Multiple-Output (MIMO) Radar; Synthetic Aperture Radar (SAR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-0321-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2011.6190132
  • Filename
    6190132