• DocumentCode
    1896695
  • Title

    An extended Kalman filter for parallel-cascade truncated Volterra systems

  • Author

    Panicker, Thomas M. ; Mathews, V.John

  • Author_Institution
    Network Access Div., Rockwell Semicond. Syst., San Diego, CA, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    2-5 Nov. 1997
  • Firstpage
    18
  • Abstract
    This paper presents an extended Kalman filter for truncated Volterra systems that employ parallel-cascade structures. Parallel-cascade realizations implement higher-order Volterra systems as parallel connections of multiplicative combinations of lower-order systems. A computationally efficient variation of the extended Kalman filter obtained by employing a block diagonal approximation of the covariance matrix of the state error vector is also presented in this paper. Experimental comparisons demonstrating relatively small performance degradation for the approximate system over the extended Kalman filter are also included in the paper. Experiments that demonstrate the approximation capabilities of the extended Kalman filter are also included.
  • Keywords
    Kalman filters; approximation theory; cascade networks; covariance matrices; digital filters; nonlinear filters; approximation capabilities; block diagonal approximation; computationally efficient variation; covariance matrix; extended Kalman filter; higher-order Volterra systems; lower-order systems; multiplicative combinations; parallel-cascade truncated Volterra systems; performance degradation; state error vector; Adaptive filters; Convergence; Covariance matrix; Degradation; Equations; Kernel; Least squares approximation; Matrix decomposition; Nonlinear systems; Resonance light scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-8316-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.1997.680022
  • Filename
    680022