• DocumentCode
    2111731
  • Title

    Semi-blind identification of finite impulse response channels

  • Author

    Manton, Jonathan H. ; Hua, Kngbo ; Zheng, Yufan ; Zhang, Cishen

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
  • Volume
    4
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    2369
  • Abstract
    It is a standard result that a finite impulse response channel of length L can be uniquely identified by feeding in a known (and persistently exciting) sequence of 2L-1 consecutive data points. Equivalently, given only 2L-2 consecutive data points, the channel can be uniquely identified up to a multiplicative constant. This paper significantly extends the identifiability criterion to the case when the known inputs are non-consecutively located. It is argued that by introducing 2L-1 non-consecutively spaced zeros into the input stream, for almost all input sequences, the channel can be uniquely identified up to a multiplicative constant. Furthermore, the result can be extended to the case when the known inputs are non-zero, in which case the channel can almost always be identified uniquely. To arrive at these results, general properties of systems of polynomial equations are derived. These properties do not seem to have appeared in the literature before
  • Keywords
    identification; poles and zeros; polynomials; sequences; signal processing; telecommunication channels; transient response; channel identification; channel length; consecutive data points; finite impulse response channels; input sequences; input stream; multiplicative constant; nonconsecutively located input; nonconsecutively spaced zeros; polynomial equations; semi-blind identification; signal processing; training data; Algebra; Equations; Finite impulse response filter; Geometry; Mathematics; Polynomials; Signal processing; Signal processing algorithms; Stochastic processes; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.681626
  • Filename
    681626