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This paper proposes a new packet dropout compensation framework for networked multi-sensor systems. It is more general, which includes the existing popular mechanisms such as the zero-input and hold-input mechanisms as the special cases. Based on the proposed compensation framework, the centralized fusion linear optimal full-order prior filters with compensators of different weighting factors are...
In this paper, an optimal distributed fusion estimation algorithm is presented for multi-sensor non-uniform sampling systems with the correlated process noise and measurement noises at the same time and network-induced packet dropouts. First, the non-uniform sampling problem is first transformed to a single-rate synchronous sampling problem. Then, local optimal filters and the filtering error cross-covariance...
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