Location Accuracy of a Ground Station based on RSS in the Rice Channel

The article presents the assessment of the potential accuracy of the location of the terrestrial radio signal source in the Rice channel using the received signal filtering and the non-linear regression function. The basic assumption for the parameterization of the channel was to use a drone with a simple antenna system and RSS analysis from multiple measurement points (Multilateration location). Preliminary results under Rice-typical channel conditions indicate position estimation errors of the order of 60 meters for K = 7, which in the assumed network structure is approximately 10% of the actual average distance. By using properly parameterized filtration systems (Kalman algorithm and Moving Average algorithm set), it is possible to increase this accuracy by one-third of the initial value.