Covariance regulation based invariant Kalman filtering for attitude estimation on matrix Lie groups

Abstract For matrix Lie groups attitude estimation problems with the trouble of unknown/inaccurate process noise covariance, by elaborating the proportion based covariance regulation scheme, this work proposes a novel version of adaptive invariant Kalman filter (AIKF). Invariant Kalman filter (IKF)...

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Bibliographic Details
Main Authors: Jiaolong Wang, Minzhe Li
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:IET Control Theory & Applications
Online Access:https://doi.org/10.1049/cth2.12179