• DocumentCode
    430970
  • Title

    An algebraic method for blind FIR channel identification with cumulant matrix decomposition

  • Author

    Dong, Bai ; Hong, Liu ; Qing-Lin, Liang

  • Author_Institution
    Inst. of Electron. Eng., Peking Univ., Beijing, China
  • Volume
    B
  • fYear
    2004
  • fDate
    21-24 Nov. 2004
  • Firstpage
    49
  • Abstract
    Blind identification of discrete-time single real FIR channel with nonminimum phase is studied in this paper. A new solution to the single real FIR channel is derived by exploiting four-order cumulant matrix of output signals. It relies only on Cholesky decomposition of the cumulant matrix. This method does not require over parametization which poses consistency difficulties. It can be used either as the final channel estimate or as initial point of other algorithms. We present altogether four hypoalgorithms which can be applied alone or combined together to satisfy different practical conditions. The algorithm is robust to low SNR and short data length circumstance and that it is simple and fast.
  • Keywords
    channel estimation; higher order statistics; matrix algebra; transient response; Cholesky decomposition; algebraic method; blind FIR channel identification; channel estimate; discrete-time single real FIR channel; four-order cumulant matrix; hypoalgorithm; nonminimum phase; Additive noise; Data mining; Finite impulse response filter; Gaussian noise; Linear systems; Matrix decomposition; Robustness; Signal processing; Statistics; Telecommunications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2004. 2004 IEEE Region 10 Conference
  • Print_ISBN
    0-7803-8560-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2004.1414528
  • Filename
    1414528