Adaptive invariant Kalman filtering for attitude estimation on SO(3) thorough feedback calibration of prior error covariance
Abstract For invariant attitude dynamics evolving on matrix Lie groups, by proposing the stochastic feedback–based covariance calibration scheme, an adaptive invariant Kalman filter (AIKF) is elaborated to deal with the attitude estimation problems corrupted by unknown or inaccurate process noise st...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-09-01
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| Series: | IET Control Theory & Applications |
| Online Access: | https://doi.org/10.1049/cth2.12166 |