RSSI Based Bluetooth Low Energy Indoor Positioning

Abstract

People usually spend time inside buildings like offices, shops, hospitals, airports, train station and other indoor spaces. Nowadays, the task of positioning and navigation in this kind of environment is becoming more relevant and useful. Commonly used GPS (Global Positioning System), which is typically used in obtaining location information, has no use in closed spaces. Thereby, we need new technology of real-time location system. In this research work we investigated usage of Bluetooth Low Energy RSSI to estimate location. We experimented with the following mathematical filtering functions to smooth rssi and improve accuracy: median, mode, single direction outlier removal, shifting and feedback filtering. For position calculation, we used trilateration algorithm. Our research based on assumptions and experiments of works of other researches. The goal was to achieve accuracy of 1-2 meters.