Improve performance of indoor positioning system using BLE

Abstract

Indoor positioning has grasped great attention in recent years, a lot of research papers have been published in this field. However, there exists no technology that proves its efficacy in all different cases. This paper presents a complete study for indoor positioning with a proposed solution. the first stage of the study is a comparative analysis of several well-known technologies currently available for Indoor Positioning such as Wi-Fi, BLE or GPS. The second stage is based on the comparison's result of the first stage and decide to use Bluetooth Low Energy (BLE) in my solution. BLE is a very practical solution for indoor positioning systems (IPS) which offers acceptable accuracy and low-cost deployment. In this work, I use Received Signal Strength Indicator (RSSI) to estimate the distance between different devices. In the third stage, signal's RSSI are filtered to increase the accuracy of estimated distance using Kalman filter. Finally, trilateration method is used for estimation the position of devices based on the output of previous stages. Experimental results show that the proposed solution has promising results by achieving a positioning accuracy within 0.76 to 0.39m and average 0.53m.