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
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