Recursive searching estimation and design of algorithms for extremum correlation navigation systems

Coordinates are estimated in extremum correlation navigation systems by using recursive search algorithms obtained by combination of the discrete-time Kalman filtering and theory of checking the statistical hypotheses. A recursive search estimation algorithm is designed for the case of motion and observation equations nonlinearly dependent on coordinates of free motion. Mathematical models of geophysical fields, their meters, and navigation systems are investigated. Results of mathematical modeling are given.