• DocumentCode
    876180
  • Title

    Blind identification of FIR systems excited by discrete-alphabet inputs

  • Author

    Yellin, Daniel ; Porat, Boaz

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
  • Volume
    41
  • Issue
    3
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    1331
  • Lastpage
    1339
  • Abstract
    An algorithm for the identification of finite-impulse-response (FIR) system parameters from output measurements, for systems excited by discrete-alphabet inputs, is described. The approach taken is algebraic. It does not rely directly on the statistical properties of the measurements, but rather it essentially solves the nonlinear equations appearing in the problem by converting them to equivalent linear equations, using the discrete-alphabet property of the input signal. The proposed algorithm was tested by computer simulations and some of these simulations are illustrated
  • Keywords
    nonlinear equations; parameter estimation; signal processing; statistical analysis; FIR systems; algebraic approach; blind identification; computer simulations; discrete-alphabet inputs; linear equations; nonlinear equations; parameter estimation; statistical analysis; Computer simulation; Digital communication; Finite impulse response filter; Gaussian noise; Linear systems; Nonlinear equations; Signal processing; Signal processing algorithms; Statistics; Testing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.205733
  • Filename
    205733