Sustainable Algorithm for Estimating the Motion Parameters of Unmanned Aerial Vehicles

Abstract

The algorithm for estimating the motion parameters of unmanned aerial vehicles as elements of flying wireless sensor networks FANET is considered. To estimate the motion parameters, the proposed stable dynamic filtering algorithm allows us to obtain estimates of coordinates and their derivatives. The results obtained can simultaneously improve the accuracy of the estimation of motion parameters, ensure the sustainability of the assessment process and the efficiency of managing the elements of the wireless sensor network FANET.