State estimation in the presence of non-Gaussian noise
State estimation in the presence of non-Gaussian noise
The problem of nonlinear filtering with a non-Gaussian model of measurement errors is considered. Based on Bayes classification of the observations an approximate solution is introduced. The Bayesian estimator can be applied to any discrete time, linear, or nonlinear system which is observed in additive non-Gaussian measurement noise. The problem …