A Novel State Estimation Algorithm for Nonlinear System with Unknown Sensor Input

To deal with the state estimation problem for nonlinear system with unknown sensor input, in this paper, a novel state estimation problems without considering unknown sensor input for nonlinear system is considered. That is, it is no need to estimate the sensor noise and the filter is carried out in the sense of unbiased minimum mean square error estimation. To show the effectiveness of the proposed filter, the numerical realization on the basis of spherical-radial cubature rule is given, and a nonlinear model with unknown sensor input is applied to test the effectiveness of the proposed algorithm. What's more, the superiority is shown through the simulation results.