• DocumentCode
    1056958
  • Title

    FIR system identification based on subspaces of a higher order cumulant matrix

  • Author

    Srinivas, L. ; Hari, K.V.S.

  • Author_Institution
    Centre for Dev. of Telematics, Bangalore, India
  • Volume
    44
  • Issue
    6
  • fYear
    1996
  • fDate
    6/1/1996 12:00:00 AM
  • Firstpage
    1485
  • Lastpage
    1491
  • Abstract
    A new linear algebraic approach for identification of a nonminimum phase FIR system of known order using only higher order (>2) cumulants of the output process is proposed. It is first shown that a matrix formed from a set of cumulants of arbitrary order can be expressed as a product of structured matrices. The subspaces of this matrix are then used to obtain the parameters of the FIR system using a set of linear equations. Theoretical analysis and numerical simulation studies are presented to characterize the performance of the proposed methods
  • Keywords
    FIR filters; higher order statistics; matrix algebra; parameter estimation; FIR system identification; higher order cumulant matrix; linear algebraic approach; linear equations; nonminimum phase FIR system; output process; performance; structured matrices; subspaces; Autocorrelation; Closed-form solution; Equations; Finite impulse response filter; Linear algebra; Numerical simulation; Optimization methods; Parameter estimation; Performance analysis; System identification;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.506613
  • Filename
    506613