• DocumentCode
    2107334
  • Title

    Blind identification of single-input multiple-output pole-zero systems

  • Author

    Venkatesan, Gopal T. ; Kaveh, Mostafa ; Tewfik, Ahmed H. ; Buckley, Kevin M.

  • Author_Institution
    Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
  • Volume
    4
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    2117
  • Abstract
    In this paper we present a technique for the blind identification of single-input multiple-output (SIMO) pole-zero (PZ) systems using only second order statistics of the system output data. The system input is treated as an unknown deterministic sequence, and hence, restrictive i.i.d. Assumptions on the input sequence are not required. We estimate the poles and zeros of the channels in two steps: (1) estimate the product of all permutations of a numerator and a denominator polynomial from two different channels, and (2) extract individual numerator and denominator polynomials for each channel from the above estimate. Our technique performs well even with short records of data
  • Keywords
    FIR filters; identification; least squares approximations; poles and zeros; polynomials; sequences; statistical analysis; PZ systems; SIMO pole-zero systems; blind identification; denominator polynomial; i.i.d.; infinite identically distributed system; numerator; permutations; second order statistics; single-input multiple-output pole-zero systems; unknown deterministic sequence; Acoustic sensors; Bismuth; Finite impulse response filter; MIMO; Monitoring; Poles and zeros; Polynomials; Robustness; Sensor phenomena and characterization; Statistics;
  • 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.1998.681563
  • Filename
    681563