Jiabing Sun

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This paper considers the distributed optimal (i.e., linear minimum variance) fusion estimation problems for two classes of networked multi-sensor systems. In the first class of systems, the sensors' measurements are transmitted via unreliable digital communication networks (DCN) to local estimators for obtaining local estimates of the state. Then the local(More)
The distributed optimal fusion problem for the state estimation of multi-sensor discrete-time stochastic systems with additional state equality constraints is considered. After obtaining the filtering error cross covariance between local filters, by the distributed optimal fusion algorithm weighted by matrices, the constrained distributed optimal fusion(More)
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