Distributed optimal fusion filtering for multi-sensor systems with state equality constraints

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 filter is derived. A numerical example shows that the fusion filter is better than each local filter.