• DocumentCode
    1660118
  • Title

    A variation on the extended Kalman filter

  • Author

    Kramer, Stuart

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
  • Volume
    2
  • fYear
    1994
  • Firstpage
    1226
  • Abstract
    Using the Bayesian probability density update relations for a discrete time nonlinear system and making Gaussian density approximations leads to a variation on the traditional extended Kalman filter (EKF) which permits additional freedom in the filter design
  • Keywords
    Bayes methods; Kalman filters; discrete time systems; nonlinear control systems; probability; state estimation; Bayesian probability density update relations; Gaussian density approximations; discrete time nonlinear system; extended Kalman filter; filter design; Bayesian methods; Discrete time systems; Equations; Extraterrestrial measurements; Filtering; Kalman filters; Measurement standards; Nonlinear systems; Space technology; Taylor series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411163
  • Filename
    411163
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1660118