• DocumentCode
    1436131
  • Title

    A cumulant matrix subspace algorithm for blind single FIR channel identification

  • Author

    Ding, Zhi ; Liang, Jing

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
  • Volume
    49
  • Issue
    2
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    325
  • Lastpage
    333
  • Abstract
    Blind identification of discrete-time single-user FIR channels with nonminimum phase is studied here. Exploiting higher order cumulants of output signals of unknown channels, a new closed-form solution to the FIR channel impulse response is derived. The algorithm is simple and fast. It relies only on nullspace decomposition of some cumulant matrices. This method neither involves the difficult task of iterative global minimization of nonunimodal cost functions, nor does it require overparametrization, which poses consistency difficulties. It can be used either as the final channel estimate or as a good initial point in nonlinear cumulant matching techniques. The application of this identification method is broad and not limited to the use of any fixed-order cumulants. Its application in identifying data communication systems shows great potential and promise
  • Keywords
    data communication; higher order statistics; identification; matrix algebra; telecommunication channels; transient response; FIR channel impulse response; blind SISO FTR channel estimation; blind single FIR channel identification; channel estimate; closed-form solution; cumulant matrix subspace algorithm; data communication systems; discrete-time single-user FIR channels; fast algorithm; higher order cumulants; nonlinear cumulant matching; nonminimum phase channels; nullspace decomposition; output signals; Closed-form solution; Cost function; Data communication; Finite impulse response filter; Higher order statistics; Iterative algorithms; Matrix decomposition; Nonlinear distortion; Signal processing; Time division multiple access;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.902114
  • Filename
    902114