• DocumentCode
    807420
  • Title

    On innovation sequence testing of the Kalman filter

  • Author

    Boozer, Drayton D. ; Daniel, Willie L Mc, Jr.

  • Author_Institution
    Teledyne-Brown Engineering, Huntsville, AL, USA
  • Volume
    17
  • Issue
    1
  • fYear
    1972
  • fDate
    2/1/1972 12:00:00 AM
  • Firstpage
    158
  • Lastpage
    160
  • Abstract
    SequentiaUy proven statements are given showing that the whiteness of the innovation sequence of a steady-state Kalman filter is not a sufficient condition for the optimality of the filter. Simulation results are given which verify each of the statements. Definite conclusions are reached concerning the identification of a class of systems by using the output sequence.
  • Keywords
    Innovations methods; Kalman filtering; Delay effects; Filtering; Kalman filters; Maximum likelihood detection; Maximum likelihood estimation; Nonlinear filters; State estimation; Technological innovation; Testing; Time varying systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1972.1099855
  • Filename
    1099855