• DocumentCode
    2092849
  • Title

    The application of observability analysis in stationary base

  • Author

    Guo Ziwei ; Miao Lingjuan ; Shen Jun

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    189
  • Lastpage
    193
  • Abstract
    The Kalman filter bases on stochastic conformance controllability and observability, and has been widely used in fine alignment of SINS stationary base. The observability analysis could guide the design of Kalman filter to improve the precision of the fine alignment. According to the state equation of the fine alignment stationary and the studies of predecessors, a specific engineering solution is proposed to study the observability of fine alignment in SINS stationary base.
  • Keywords
    Kalman filters; controllability; inertial navigation; observability; stochastic processes; Kalman filter; SINS stationary base; fine alignment; observability analysis; state equation; stationary base; stochastic conformance controllability; Automation; Educational institutions; Electronic mail; Kalman filters; Observability; Silicon compounds; Kalman filtering; Observability; Stationary base;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572872