Adaptive Estimation and Identification of Signals of Satellite Radio Navigation Systems
Using the methods of the Markov’s theory of estimating random processes, the problem of obtaining complex optimal algorithms for adaptive estimation and identification of signals of satellite radio navigation systems is reduced to the problem of identification and adaptive estimation of discrete-continuous processes. The discrete process is a two-component composite process, each component of which is a vector process. A non-continuous process is a multicomponent diffusion process. The problem of identification is considered as a parametric estimation problem.