Abstract:

In the era of dynamically expanding scope of UAV applications, the article discusses the use of simple UAVs (COTS by definition) to implement tasks supporting a radio communication network in 2D space. The results of comparative simulation studies of radio signal source localization methods based on multi-element RSSI vectors (so-called Range Based methods) for the Min-Max, Least-Squares and Linera Regression methods in the Raiyleigh channel are presented. The potential of using Kalman filtering of the source signal was also assessed. The results prove that as a function of the increase in the number of RSSI data, the original source locating accuracy can be doubled.