V. A. Mironov - Dr.Sc. (Eng.), Professor, Leading Research Scientist, Research Center electronic warfare Air Academy named after prof. N.E. Zhukovsky and Yu.A. Gagarin (Voronezh). E-mail: mirvam@live.ru
A. V. Ponomarev - Ph.D. (Eng.), Associate Professor, Head of Department, Military Air Academy named after prof. N.E. Zhukovsky and Yu.A. Gagarin (Voronezh). E-mail: Cycloida@mail.ru br> V. P. Vasiliev - Post-graduate Student, Military Air Academy named after prof. N.E. Zhukovsky and Yu.A. Gagarin (Voronezh). E-mail: Baltimor4@mail.ru

The radio communication system of unmanned aerial vehicle with a mobile object using oriented directional antennas systems has been considered. To orient the antenna systems between radio communication objects it is necessary to use positioning systems, such as satellite-based navigation systems. Accuracy of coordinate unmanned aerial vehicle and mobile object using equipment consumer satellite radio navigation system GLONASS or GPS is not always sufficient. Standard error of these systems varies widely. Also, we calculated the geometric parameters of the radio link between the unmanned aircraft and mobile radio communication object. This calculation shows that at certain distances between objects radio accuracy of positioning is not sufficient. It is therefore proposed to increase the accuracy of determining the coordinates of the radio communication objects by processing data satellite radio navigation system using Kalman filtering algorithm. Authors proposed a kind of Kalman filtering algorithm discussed and approved at the international scientific conferences and scientific and practical conferences. This study was produced Kalman filtering algorithm by computer simulation. In the model of changing of the coordinates and speed of the radio communication object projections counts at time samples were modeled as Gaussian random processes with stationary increments according to a well-known technique. Components of the surveillance vector were modeled based on the availability of "discrete Gaussian white noise" observations. The time dependences of mean square error of coordinates measurement and gain from use of secondary data processing of satellite radio navigation system by the proposed algorithm in the case of different standard errors of the discrete Gaussian white noise observations of the velocity components were plotted. The results of a series of computer experiments by varying the standard errors of the discrete Gaussian white noise observations of the velocity components were also plotted. Computer simulations showed that the developed algorithm provides gain in accuracy of the coordinates in several times , depending on the conditions of its application.