Wi-Fi fingerprint-based approaches following log-distance path loss model for indoor positioning

Abstract

Wi-Fi fingerprint based indoor positioning methods exploits naive signal strength in each location to predict user's location. However, using naïve signal strength may limit the prediction accuracy, because the Wi-Fi signals follow the Log-distance path loss model in signal propagation. In this research, we propose to generate Wi-Fi fingerprint with the consideration of radio propagation model to reflex the characteristics of Wi-Fi signal. The evaluation result shows that following log-distance path loss model improves the prediction accuracy in fingerprint based indoor positioning.