• DocumentCode
    3448542
  • Title

    Phase inference and error surface analysis of a blind non-minimum phase channel equalizer

  • Author

    Chambers, Jonathon ; Lambotharan, Sangarapillai

  • Author_Institution
    Signal Processing Section, Imperial Coll. of Sci., Technol. & Med., London, UK
  • fYear
    1995
  • fDate
    34969
  • Firstpage
    42401
  • Lastpage
    42406
  • Abstract
    Blind equalization of a non-minimum phase (NMP) channel can be achieved with an infinite impulse response (IIR) predictor and an all pass filter. The adaptive IIR predictor minimises the square of the prediction error with the simplified gradient least mean square algorithm which possesses the self-stabilizing property, and the all pass filter is adapted to minimise the fourth moment of its output. This paper analyses the error surface of the all pass filter output for an NMP channel and proposes a new scheme to initialise the all pass filter from the IIR predictor coefficients. A method used to achieve blind equalization with only second order statistics which has immunity to local minima is also proposed. Simulation results are used to support the work
  • Keywords
    IIR filters; adaptive equalisers; adaptive filters; all-pass filters; filtering theory; least mean squares methods; prediction theory; telecommunication channels; IIR predictor coefficients; adaptive IIR predictor; all pass filter; blind equalization; error surface analysis; fourth moment; gradient least mean square algorithm; infinite impulse response predictor; nonminimum phase channel; nonminimum phase channel equalizer; phase inference; prediction error; second order statistics; self-stabilizing property; simulation results;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Blind Deconvolution - Algorithms and Applications, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19950897
  • Filename
    494821