State estimation with sensor failure for discrete-time nonlinear stochastic systems

In this paper, state estimation is considered for discrete-time nonlinear systems with uncertain observations and sensor failure. We focus on the multi-sensor case where sensors may fail independently of each other at different rates. The local unbiased minimum variance estimator is developed for this case. An illustrative example is included to show the performance of the proposed approach.