###### Abstract  
Today's technological developments make it possible to use machines to perform specific tasks instead of humans. However, the challenge for such autonomous devices is to precisely move and navigate in constantly changing external environments. In this paper, the influence of varying weather conditions (air temperature, humidity, wind speed, atmospheric pressure, type of satellite systems used/satellites visible, and solar activity) on the accuracy of position determination was analyzed. To reach the receiver, a satellite signal must travel a great distance and pass through all layers of the Earth's atmosphere, the variability of which causes errors and delays. Moreover, the weather conditions for receiving data from satellites are not always favorable. In order to investigate the impact of delays and errors on position determination, the measurements of the satellite signal were conducted, the motion trajectories were determined, and the standard deviations of these trajectories were compared. The results obtained show that it is possible to achieve high precision in determining the position, but varying conditions, such as solar flares or satellites' visibility, meant that not all measurements are able to achieve the required accuracy. The use of the absolute method of satellite signal measurements contributed to this to a large extent. To increase the accuracy of positioning by GNSS systems, it is first of all proposed to use a dual-frequency receiver that eliminates ionospheric refractions. s 202323281423  
and the standard deviations of these trajectories were compared. Conclusions were drawn based on these measurements. The issue of the impact of changing weather conditions on the accuracy of position determination has been of interest to scientists for many years [1; 2; 3]. This is due to the fact that in many areas of economy, including, in particular, transport, it is necessary to correctly determine the location of a moving vehicle/companion robot/pedestrian [4; 5; 6; 7] in order to take advantage of the services offered by intelligent transport systems [8; 9; 10; 11; 12]. Meanwhile, position determination [13; 14; 15] is not only affected by failures of global navigation satellite systems (GNSS) receivers [16; 17; 18; 19; 20; 21; 22], but also by weather conditions [23; 24], which can have significant influence on position accuracy. Thus, in effect, there may be a threat in terms of the safety of people and vehicle movement [25; 26; 27]. More credible positional determination can be obtained by minimizing the positioning error. This is possible, e.g., by developing innovative solutions in GNSS receivers. This approach was presented in the article [28]. The authors proposed the use of time-differentiated carrier phase (TDCP) measurements. This is particularly advantageous in urban environments where signal multipathing occurs. Field studies confirmed the legitimacy of this solution, however, it would be beneficial to take into account environmental conditions during the experiments. Another possibility to improve positioning accuracy is the integration of receivers using different navigation systems. Such an approach was presented in article [29], in which the authors proposed to integrate global positioning system (GPS) and BeiDou receivers, which resulted in improvement in the positional data accuracy and reliability. This was achieved by increasing the number of visible satellites moving in different orbits. In this way, the impact of weather conditions on the accuracy of positional determination was also minimized. A similar approach, but based on statistical techniques, was described in publication [30]. A reduction in the impact of weather conditions on the accuracy of position determination is also possible by increasing the number of systems used.