• DocumentCode
    1949899
  • Title

    Investigation of Kalman filter divergence using robust stability techniques [combat aircraft tracking/navigation system]

  • Author

    Pearson, John ; Goodall, Roger ; Eastham, Mike ; MacLeod, Colin

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
  • Volume
    5
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    4892
  • Abstract
    Presents an overview of a preliminary study into the issues associated with Kalman filter stability. Future advanced combat aircraft will require further levels of system integration it is believed that Kalman filters will play a key role in this increased integration and consequently their performance and robustness are of interest. The paper applies the μ-analysis robust stability technique to a two dimensional tracking/navigation system which requires a nonlinear or extended Kalman filter. Results show that the robust stability margins provide an indication of poor robustness, under some circumstances, but further work is required to predict instability or divergence in the extended Kalman filter
  • Keywords
    Kalman filters; filtering theory; military aircraft; navigation; nonlinear filters; robust control; μ-analysis robust stability technique; Kalman filter divergence; advanced combat aircraft; extended Kalman filter; nonlinear filter; two dimensional tracking/navigation system; Aerospace control; Aerospace electronics; Air safety; Aircraft navigation; Certification; Equations; Military aircraft; Robust stability; Robustness; Uncertainty;
  • 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.1997.649807
  • Filename
    649807