• DocumentCode
    3093706
  • Title

    Angle Estimation for Bi-static MIMO Radar Based on Tri-iterative Algorithm

  • Author

    Zhaoyang, Niu ; Jianyun, Zhang ; Zhidong, Zheng

  • Author_Institution
    Hefei Electron. Eng. Inst., Hefei, China
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    1264
  • Lastpage
    1267
  • Abstract
    The Bi-static MIMO (multiple-input multiple-output) radar signal modal is established in this paper. And the proper coefficient of the MF (matcher filter) is chosen in order to keep the noise output has the same statistical property as the noise input. To make the computational complexity lower and the convergence speed faster, the signal subspace is used as a dimension-reducing matrix. A novel cost function is proposed based on the LS (least squares), which is solved by using the Tri-Iterative Algorithm. Afterwards, a unique closed solution in each iteration which is posed a typical least square problem is derived and the receiving and the transmitting angles are estimated for bi-static MIMO radar. It is worth mentioning that the estimated angles can be paired automatically. Finally, Simulation results are presented to verify the effectiveness of the proposed method.
  • Keywords
    MIMO radar; computational complexity; direction-of-arrival estimation; iterative methods; least squares approximations; matched filters; matrix algebra; radar signal processing; LS method; MF; angle estimation; bistatic MIMO radar; computational complexity; convergence speed; dimension-reducing matrix; least squares method; matched filter; multiple-input multiple-output radar; radar signal model; receiving angle; transmitting angle; tri-iterative algorithm; Arrays; Covariance matrix; Estimation; MIMO radar; Noise; Signal processing algorithms; Angle estimation; Bi-static MIMO radar; Tri-Iterative Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8043-2
  • Electronic_ISBN
    978-0-7695-4180-8
  • Type

    conf

  • DOI
    10.1109/PCSPA.2010.310
  • Filename
    5636148