• DocumentCode
    167512
  • Title

    Angle estimation and self-calibration for bistatic MIMO radar with mutual coupling of transmitting and receiving arrays

  • Author

    Hong-bing Li ; Qiao Wei ; Jun Jiang ; Hai-lin Tian

  • Author_Institution
    Radar Eng. Dept., Air Force Eng. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    354
  • Lastpage
    357
  • Abstract
    Based on the banded symmetric and Toeplitz matrix model for the mutual coupling of uniformly linear array (ULA), a reduced dimensional angle estimation and mutual coupling self-calibaration algorithm is proposed for bistatic MIMO radar. The new algorithm combines the angles with mutual coupling parameters but decouples them, which can provide accurate angle estimation without the knowledge of mutual coupling. In addition, the mutual coupling coefficients for array self-calibration can be achieved simultaneously. Instead of multidimensional search or iterative computation, the algorithm just uses a one-dimensional search, so it can reduce the computational cost. The correction and efficiency of the proposed method are verified by the computer simulation results.
  • Keywords
    MIMO radar; Toeplitz matrices; calibration; linear antenna arrays; radar antennas; receiving antennas; transmitting antennas; Toeplitz matrix model; ULA; banded symmetric matrix model; bistatic MIMO radar; computational cost reduction; dimensional angle estimation reduction; multiple input multiple output radar; mutual coupling parameters; receiving arrays; self-calibration; transmitting arrays; uniformly linear array; Arrays; Atmospheric modeling; Couplings; Estimation; MIMO; Radar; US Department of Defense; Bistatic MIMO radar; mutual coupling; self-calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845630
  • Filename
    6845630