Cramer-Rao lower bound for parameters of random processes in navigation data processing

The paper considers the problem of estimating the parameters of random processes often dealt with by researchers in the processing of navigation information as a problem of optimal nonlinear filtering. An algorithm for calculating the Cramer-Rao lower bound of estimation accuracy in this problem is suggested. The application of this algorithm is illustrated by two examples.