• DocumentCode
    1190834
  • Title

    Comments on "An aperiodic phenomenon of the extended Kalman filter in filtering noisy chaotic signals"

  • Author

    Pantaleón, Carlos ; Souto, Antonio

  • Author_Institution
    Naval Archit. Dept., Polytech. Univ. of Madrid, Spain
  • Volume
    53
  • Issue
    1
  • fYear
    2005
  • Firstpage
    383
  • Lastpage
    384
  • Abstract
    In the above paper, an aperiodic behavior of the Extended Kalman Filter (EKF) when filtering chaotic signals is reported. In this comment, we point out that this erratic behavior should be expected when filtering an aperiodic, time-varying signal. More interestingly, the convergence to a fixed point that is observed in some systems is due to the special form of the minimum Bayesian mean square error.
  • Keywords
    Kalman filters; filtering theory; least mean squares methods; nonlinear filters; time-varying filters; extended Kalman filter; minimum Bayesian mean square error; noisy chaotic signal filtering; time-varying signal; Chaos; Chaotic communication; Computer graphics; Digital filters; Filtering; Interpolation; Quantization; Sampling methods; Signal generators; Signal processing algorithms; Chaotic signals; extended Kalman filter; piecewise-linear maps;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2004.837411
  • Filename
    1369681