The Enhancement of WiFi Fingerprint Positioning Using Convolutional Neural Network

Abstract

With the widely applied of LBS (Location Based Service), a high standard of indoor positioning technology is required. Among them, WiFi fingerprint positioning is the most popular way. In this paper, we proposed a new CNN (convolutional neural network)-based architecture for WiFi fingerprint positioning. Experimental results show that our CNN-based architecture performs better on the public datasets than traditional machine learning methods.