• DocumentCode
    2212912
  • Title

    Radar imaging via adaptive MIMO techniques

  • Author

    Luzhou Xu ; Jian Li ; Stoica, Petre

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We investigate several adaptive techniques for a multiple-input multiple-output (MIMO) radar system. By transmitting independent waveforms via different antennas, the echoes due to targets at different locations are linearly independent of each other, which allows the direct application of many adaptive techniques. We discuss several adaptive radar imaging algorithms, which can provide excellent estimation accuracy of both target locations and target amplitudes, and high robustness to the array calibration errors. To reject the false peaks due to the strong jammers, we also propose a generalized likelihood ratio test (GLRT). As shown by the numerical examples, the number of targets can be estimated accurately by using GLRT, and an accurate description of the target scenario can be obtained by combining the adaptive radar imaging algorithms and the GLRT technique.
  • Keywords
    MIMO radar; adaptive radar; estimation theory; radar imaging; radar tracking; target tracking; GLRT technique; adaptive MIMO techniques; adaptive radar imaging algorithms; array calibration errors; generalized likelihood ratio test; independent waveforms transmission; multiple-input multiple-output radar system; target amplitudes; target locations; Abstracts; Arrays; Direction-of-arrival estimation; Filtering; Jamming; Radar imaging; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071108