Abstract
In this study a covariance matching-based adaptive Kalman filter (AKF) with Q-adaptation is examined. Influence of the process noise bias type system changes to the prediction, estimation and state correction sequence of Kalman filter (KF) is investigated. It is proved that the bias type process noise change may be converted to the mean square of state correction sequence of KF and such type of changes can be compensatd using the covarince matching techniques.
| Original language | English |
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| Title of host publication | 2024 33rd International Scientific Conference Electronics, ET 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350376449 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 33rd International Scientific Conference Electronics, ET 2024 - Sozopol, Bulgaria Duration: 17 Sept 2024 → 19 Sept 2024 |
Publication series
| Name | 2024 33rd International Scientific Conference Electronics, ET 2024 - Proceedings |
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Conference
| Conference | 33rd International Scientific Conference Electronics, ET 2024 |
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| Country/Territory | Bulgaria |
| City | Sozopol |
| Period | 17/09/24 → 19/09/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- covariance estimation
- estimation
- Kalman filter
- process noise
- UAV