• DocumentCode
    3333638
  • Title

    Perturbation analysis of whitening-rotation-based semi-blind MIMO channel estimation

  • Author

    Wan, Feng ; Zhu, Wei-Ping ; Swamy, M.N.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2009
  • fDate
    2-5 Aug. 2009
  • Firstpage
    240
  • Lastpage
    243
  • Abstract
    The whitening-rotation (WR)-based semi-blind methods have been shown to achieve much better channel estimation performance than the conventional training-based methods for MIMO systems. In this paper, the performance analysis is conducted for an ideal WR-based method, in which the knowledge of the ideal whitening matrix is known a priori. This analysis is a valuable study since the ideal WR-based method provides the upper bound of the channel estimation performance for WR-based methods. First, the expression of the error of the rotation matrix is derived by using a perturbation analysis. This result is then utilized to derive a closed-form expression of mean square error (MSE) of the ideal WR-based method. The simulation studies have shown that the theoretical MSE values are consistent with the simulation results, confirming the high accuracy of the derivation of the MSE expression.
  • Keywords
    MIMO communication; channel estimation; matrix algebra; mean square error methods; MIMO channel estimation; closed-form expression; ideal whitening matrix; mean square error method; multiple input multiple output system; perturbation analysis; whitening-rotation-based semi-blind method; Channel estimation; MIMO; Maximum likelihood estimation; Mean square error methods; Performance analysis; Receiving antennas; Signal processing; Signal processing algorithms; Transmitting antennas; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on
  • Conference_Location
    Cancun
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-4479-3
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2009.5236109
  • Filename
    5236109