Abstract | ||
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•Multi-sensor systems with prediction compensation of packet losses are studied.•Centralized fusion estimators are presented in LUMV sense.•Local optimal estimators are designed for each sensor subsystem.•Estimation error cross-covariance matrices between local estimators are derived.•Distributed fusion estimators weighted by matrices are presented in LUMV sense. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.inffus.2018.01.008 | Information Fusion |
Keywords | Field | DocType |
Fusion estimation,Multi-sensor networked system,Cross-covariance matrix,Packet loss compensation,Completing square method | Compensation strategy,Minimum-variance unbiased estimator,Pattern recognition,Matrix (mathematics),Network packet,Algorithm,Packet loss,Fusion,Artificial intelligence,Information fusion,Mathematics,Estimator | Journal |
Volume | ISSN | Citations |
45 | 1566-2535 | 4 |
PageRank | References | Authors |
0.39 | 20 | 4 |