Communication delays and packet losses are usually unavoidable in sensor networks and should be taken into consideration in the estimator design. Both centralized and distributed fusion estimation methods have been presented in [1–3] for multisensor fusion estimation systems with delays or packet losses. To deal with the delays and packet losses simultaneously, the centralized fusion estimators have been designed in [4, 5] by using Kalman filtering and linear matrix inequality approaches, and the distributed fusion estimation algorithm was developed in  based on the well-known federated Kalman filtering approach. In [5, 6], the time-varying delay was identified by using the time-stamp method over each estimation interval, and exact values of the time delays should be known to update the estimator gain matrices online.
Packet Loss Local Estimate Fusion Center Random Delay Linear Matrix Inequality Approach
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