• DocumentCode
    2812276
  • Title

    MIMO radar detection under phase synchronization errors

  • Author

    Akcakaya, Murat ; Nehorai, Arye

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Washington Univ. in St.Louis, St. Louis, MO, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2578
  • Lastpage
    2581
  • Abstract
    We consider the problem of target detection for coherent multi-input multi-output (MIMO) radar with widely separated antennas in the presence of phase synchronization mismatch between the transmitter and receiver pairs. First, we introduce a data model using von-Mises distribution to represent the phase error terms. Then we employ expectation-maximization algorithm to estimate the error distribution parameter and target returns as well as the noise variance. We develop a generalized likelihood ratio test (GLRT) target detector using these estimates and demonstrate the effect of phase uncertainties on the detection performance using Monte Carlo simulations.
  • Keywords
    MIMO radar; Monte Carlo methods; expectation-maximisation algorithm; object detection; radar detection; synchronisation; MIMO radar detection; Monte Carlo simulations; error distribution parameter; expectation-maximization algorithm; generalized likelihood ratio test; multi-input multi-output radar; noise variance; phase synchronization errors; receiver; transmitter; von-Mises distribution; Data models; Expectation-maximization algorithms; MIMO; Object detection; Phase detection; Radar antennas; Radar detection; Receiving antennas; Transmitters; Transmitting antennas; MIMO Radar Signal Processing; Phase error; Signal Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496278
  • Filename
    5496278