Abstract:

The article evaluates the proportion of the increase in the accuracy of the location of the radio signal source in 2D space as a function of the increase in the number of Reference Points and the distance between them. The research was done by computer simulation for several selected localization methods based on RSSI in the Rice channel. Comparative studies covered the Min-Max, Trilateration, Least-Squares and Non-linear Regression location algorithms. It has been shown that the use of Kalman filtering of the received signal gives the best results in the conditions of a small number of Reference Points (nearly 10-fold reduction in location errors). With a large number of Reference Points (without using other algorithms for the correction of the received signal) for simple localization methods, its accuracy can be expected at the level of several percent of the maximum distance of the Reference Point from the source. Under the conditions presented in this publication, the method using the Nonlinear Regression function shows the best results.