• DocumentCode
    1405102
  • Title

    Blind identifiability of FIR-MIMO systems with colored input using second order statistics

  • Author

    Hua, Yingbo ; Tugnait, Jitendra K.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
  • Volume
    7
  • Issue
    12
  • fYear
    2000
  • Firstpage
    348
  • Lastpage
    350
  • Abstract
    We show that a finite impulse response and multi-input-multi-output (FIR-MIMO) system with colored input is blindly identifiable up to a permutation and scaling using the second order statistics (SOS) of the system´s output if (a) the system function is irreducible, and (b) the input signals are uncorrelated from each other and have distinct power spectra. Condition (a) is weaker than several conditions reported previously. It suggests a further potential of developing more robust blind algorithms.
  • Keywords
    MIMO systems; identification; spectral analysis; statistical analysis; transient response; FIR-MIMO systems; blind identifiability; colored input; finite impulse response; irreducible system function; multi-input-multi-output; permutation; power spectra; robust blind algorithms; scaling; second order statistics; uncorrelated input signals; Blind source separation; Convolution; Finite impulse response filter; MIMO; Polynomials; Robustness; Signal processing; Statistics; System identification;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.883365
  • Filename
    883365