• DocumentCode
    2975031
  • Title

    Cumulant matrix subspace algorithms for blind single FIR channel identification

  • Author

    Ding, Zhi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    Blind identification of discrete non-minimum phase FIR channels is studied here. Exploiting higher order statistics of the unknown channel output, a closed-form solution to the FIR channel impulse response is presented. The algorithm is simple and relies only on nullspace decomposition. It does not involve global minimization of non-unimodal cost functions nor does it use overparametrization. Its application is broad. It can be used either as the final channel estimate or as a good initial point in nonlinear cumulant matching techniques
  • Keywords
    FIR filters; filtering theory; higher order statistics; matrix algebra; parameter estimation; signal processing; transient response; blind single channel identification; channel estimate; closed-form solution; cumulant matrix subspace algorithms; discrete non-minimum phase FIR channels; higher order statistics; impulse response; nonlinear cumulant matching; nullspace decomposition; Blind equalizers; Cities and towns; Closed-form solution; Cost function; Data communication; Demodulation; Finite impulse response filter; Higher order statistics; Linear systems; Nonlinear distortion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Caesarea
  • Print_ISBN
    0-7695-0140-0
  • Type

    conf

  • DOI
    10.1109/HOST.1999.778699
  • Filename
    778699