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- W3213385622 abstract "Mean square error matrices belong to key concepts in decentralised estimation. They assess the quality of estimates and are essential for the optimisation of the estimation fusion. In the case of a missing knowledge, sets of admissible matrices are replaced by their bounds and a robust fusion is applied. This paper prospects a specific partial knowledge of the sets of matrices. Upper bounds are constructed first. Then, the stress is laid on non-zero lower bounds, which do not exist in the fusion under completely unknown correlation. Limit cases are discussed on numerical examples and graphical illustrations are given." @default.
- W3213385622 created "2021-11-22" @default.
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- W3213385622 date "2021-09-23" @default.
- W3213385622 modified "2023-09-27" @default.
- W3213385622 title "Lower Bounds In Estimation Fusion With Partial Knowledge of Correlations" @default.
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- W3213385622 doi "https://doi.org/10.1109/mfi52462.2021.9591173" @default.
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