Identification of Sensor Errors by Using of Nonlinear Filtering
О. А. Степанов, Andrei V. Motorin, V.A. Vasilyev · IFAC-PapersOnLine · 2015
The problem of estimating parameters of random sequences used to describe sensor errors is formulated and solved in the context of the Bayesian approach as a nonlinear filtering problem. The algorithms that provide the possibility of obtaining optimal estimates and calculation of potential estimation accuracy have been designed. The possibility of calculating the Cramer-Rao Lower Bound is discussed. Two examples are given to illustrate the application of the proposed approach.