Development of Algorithm for Filtering the Parameters of Angular Orientation of the Object on Signals of GNSS

This article is dedicated to the development of two-stage algorithm for filtering the parameters of angular orientation of the object on radio signals of satellite navigation system. For implement such an algorithm the algorithms of quasi-optimal filtering in the Gaussian approximation of the posterior probability density based on the Kalman filtering apparatus are applied. The object of this work is a two-stage algorithm for filtering the parameters of the angular orientation of the object on radio signals of satellite navigation systems. As a result of the study, a two-step algorithm for filtering the parameters of the object's angular orientation on radio signals of satellite navigation systems was developed and tested in simulation modeling. The practical significance of the developed algorithm for evaluating the orientation of the consumer on radio signals of satellite navigation systems is to ensure a standard deviation of the error of estimating the angles of orientation to units of angular minutes, at the intensity of the object's own dynamics, which is several times better than in similar algorithms used. Application: navigation of military and public segment customers.