Indoor positioning system using Wi-Fi & Bluetooth Low Energy technology

Abstract

In the era of wireless communication, almost every other person uses a smartphone not only for traditional calling, but for multiple services. Wi-Fi based services have been on rise, and Wi-Fi signals are omnipresent nowadays. Exploiting the feature of Wi-Fi signal detection from android smartphones, we built an app for user positioning in indoor environment. For testing purposes, we use pre-installed Wi-Fi access points and Beacon devices based on Bluetooth Low Energy (BLE) technology in our department for indoor positioning at the department. Using the classical RSSI based trilateration algorithm, we improved upon the location estimation using gradient descent over error function. We then analyze the results of location estimation with actual measurement of distances.