Model Distribution in Decentralized Multi-Sensor Data Fusion


This paper considers the problem of data fusion in a decentralized and distributed network of multi-sensor processing nodes. A decentralized and distributed Kalman filter is formulated. This filter needs no central processor; globally optimum estimates are obtained at each mode by requiring an underlying centrality of the state space rather than a… (More)


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