• DocumentCode
    321339
  • Title

    Virtual measurements for nonlinear filters

  • Author

    Daum, Fred

  • Author_Institution
    Raytheon Co., Marlborough, MA, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    1657
  • Abstract
    The method of virtual measurements (MOVM) will be described for designing nonlinear filters. The new nonlinear filter theory generalizes the Kalman filter, and in some important applications, the performance of the new filter is vastly superior to the extended Kalman filter (EKF). Unlike the EKF, the new theory does not use linearization. The new design approach, MOVM, can be applied to exact nonlinear filters as well as nonlinear approximate filters
  • Keywords
    Kalman filters; filtering theory; linearisation techniques; nonlinear filters; Kalman filter; MOVM; exact nonlinear filters; nonlinear approximate filters; virtual measurements; Computational complexity; Design methodology; Electronic mail; Filtering theory; Linear approximation; Nonlinear equations; Nonlinear filters; Partial differential equations; Random variables; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4187-2
  • Type

    conf

  • DOI
    10.1109/CDC.1997.657754
  • Filename
    657754
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=321339