• DocumentCode
    2825635
  • Title

    Left-invariant extended Kalman filter and attitude estimation

  • Author

    Bonnabel, Silvere

  • Author_Institution
    Ecole des Mines de Paris, Paris
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    1027
  • Lastpage
    1032
  • Abstract
    We consider a left-invariant dynamics on a Lie group. One way to define driving and observation noises is to make them preserve the symmetries. We propose a left- invariant (i.e, intrinsic and thus symmetry-preserving) extended Kalman filter such that the left-invariant estimation error obeys a stochastic differential equation independent of the system trajectory. The theory is illustrated by an attitude estimation example.
  • Keywords
    Kalman filters; differential equations; estimation theory; stochastic processes; attitude estimation; left-invariant estimation error; left-invariant extended Kalman filter; stochastic differential equation; Additive noise; Attitude control; Convergence; Differential equations; Filtering; Geometry; Nonlinear dynamical systems; Nonlinear equations; Stochastic processes; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434662
  • Filename
    4434662