Statistical analysis of errors in determining the coordinates of an unmanned aerial vehicle based on experimental data from satellite navigation receivers

Abstract

3D imaging technologies play an important role in aviation, electric power engineering, water management, civil engineering, transport and other important engineering applications. When laying power lines, road construction across rivers, mountainous areas and other special areas, the use of automated unmanned aerial vehicles (UAVs) requires high-precision determination of coordinates in space. High-precision determination of the UAV location can be ensured by using global satellite radio navigation systems (GLONASS, GPS, Beidou, Galileo). The article presents the results of statistical analysis of errors in determining UAV coordinates based on experimental data from satellite navigation receivers (SNR). Some patterns of coordinate determination errors, which are random in nature, are established based on registration, systematization and processing of measurement results. Probabilistic characteristics of coordinate determination errors are considered, a two-dimensional probability density and an error ellipse are constructed. The results of the correlation-regression analysis of the observed random variables are presented, histograms and correlation functions of errors in determining the spatial and horizontal coordinates of the UAV are calculated and constructed.