Title :
Left-invariant extended Kalman filter and attitude estimation
Author :
Bonnabel, Silvere
Author_Institution :
Ecole des Mines de Paris, Paris
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;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434662