Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs

Abstract

A novel approach to recurrent filtering of trajectory parameters of unmanned aerial vehicles (UAVs), including areas of intense trajectory maneuver, has been proposed in the article. A procedure for the synthesis of an adaptive recurrent filter based on the separation principle has been developed. A technique for simplifying the adaptive filter in order to reduce the computational complexity of the filtering algorithm has been proposed. The results of modeling synthesized adaptive filters have been presented and a comparative analysis of the proposed filters with traditional ones, which showed an increase in the accuracy of the estimated trajectory parameters of the UAV by 50-70 percent in the area of an intensive trajectory maneuver, has been carried out.

Keywords

• unmanned aerial vehicles
• air navigation
• adaptive filtration
• kalman filter
• air traffic control