• DocumentCode
    814784
  • Title

    Some new algorithms for recursive estimation in constant, linear, discrete-time systems

  • Author

    Morf, M. ; Sidhu, Gursharan S. ; Kailath, Thomas

  • Author_Institution
    Stanford University, Stanford, CA, USA
  • Volume
    19
  • Issue
    4
  • fYear
    1974
  • fDate
    8/1/1974 12:00:00 AM
  • Firstpage
    315
  • Lastpage
    323
  • Abstract
    Certain recently developed fast algorithms for recursive estimation in constant continuous-time linear systems are extended to discrete-time systems. The main feature is the replacement of the Riccati-type difference equation that is generally used for such problems by another set of difference equations that we call of Chandrasekhar-type. The total number of operations in the new algorithm is in general less than with the Riccati-equation based Kalman filter, with significant reductions being obtained in several important special cases. The algorithms are derived via a factorization of increments of the Riccati equation variable, a method that can be extended to nonsymmetric Riccati equations as well.
  • Keywords
    Chandrasekhar equations; Discrete time Riccati equations; Linear systems, time-invariant discrete-time; Recursive estimation; Riccati equations, discrete-time; State estimation; Difference equations; Differential equations; Linear systems; Military computing; Predictive models; Recursive estimation; Riccati equations; Spectral analysis; Speech analysis; Testing;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1974.1100576
  • Filename
    1100576