This paper deals with the problem of designing robust centralized fusion Kalman filters for the multisensor time-varying system with uncertain noise variances. According to the minimax robust estimation principle, based on the worst-case conservative system with conservative upper bounds of noise variances, applying the unbiased linear minimum variance optimal estimation rule, the robust centralized fusion time-varying Kalman filters are presented. Its robustness is proved by the Lyapunov equation approach. The robust accuracy relations of the local and centralized fused robust time-varying Kalman filters are proved. A simulation example verifies the robustness and robust accuracy relations.
Robust centralized fusion time-varying Kalman filters
01.08.2018
108973 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Optimal and Self-correcting Covariance Intersection Fusion Kalman Filters
Springer Verlag | 2021
|AIAA | 2005
|AIAA | 2015
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