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- W2513289169 abstract "This paper addresses the problem of the joint estimation of system state and generalized sensor bias (GSB) under a common unknown input (UI) in the case of bias evolution in a heterogeneous sensor network. First, the equivalent UI-free GSB dynamic model is derived and the local optimal estimates of system state and sensor bias are obtained in each sensor node; Second, based on the state and bias estimates obtained by each node from its neighbors, the UI is estimated via the least-squares method, and then the state estimates are fused via consensus processing; Finally, the multi-sensor bias estimates are further refined based on the consensus estimate of the UI. A numerical example of distributed multi-sensor target tracking is presented to illustrate the proposed filter." @default.
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- W2513289169 date "2016-09-01" @default.
- W2513289169 modified "2023-10-14" @default.
- W2513289169 title "Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown Input" @default.
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- W2513289169 doi "https://doi.org/10.3390/s16091407" @default.
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