• DocumentCode
    887616
  • Title

    Adaptive frequency shape Kalman filters

  • Author

    Moore, J.B. ; Tay, T.T.

  • Author_Institution
    Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
  • Volume
    34
  • Issue
    2
  • fYear
    1989
  • fDate
    2/1/1989 12:00:00 AM
  • Firstpage
    231
  • Lastpage
    236
  • Abstract
    A Kalman filter with adaptive frequency-shaped gains, suitable for operating in unknown colored noise environments, is described. The scheme uses least-squares parameter updates and is inherently stable. The adaptive loop enhances the performance of the filter under adverse operating conditions but evanesces under nominal designed condition, thereby preserving the desirable properties of an offline design. Simulation results show that the scheme is effective in enhancing Kalman filter performance when applied to other than nominal signal models
  • Keywords
    Kalman filters; adaptive filters; least squares approximations; adaptive frequency shaped Kalman filters; least squares approximations; least-squares parameter updates; unknown colored noise; Adaptive filters; Colored noise; Finite impulse response filter; Frequency; Kalman filters; Noise shaping; Shape; Statistics; Transfer functions; White noise;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.21109
  • Filename
    21109