Signal analysis for WiFi positioning system

Abstract

Wi-Fi localization is important to determine the predicted location of the network device. In this project, localization techniques were studied and implemented to perform signal analysis. Simulation of RSSI values based on a given location and simulation of an exact location based on a given set of RSSI values are performed. These results are visualized in a graphical user interface and analyzed in detailed. The implementation of the simulation is based on the k-Nearest Neighbor algorithm and the Wi-Fi triangulation localization method. Euclidean distance was used as the proximity measure for the nearest neightbor algorithm.