A WiFi-Based Weighted Screening Method for Indoor Positioning Systems

Past studies of WiFi-based indoor positioning systems (IPS) have mainly been divided into three types of positioning: proximity, trilateration, and scene analysis. This paper proposes a WiFi-based weighted screening method (WSM) to improve displacement error in trilateration. WSM is designed for part of pedestrian navigation in indoor environment which most likely use smart phone as the WiFi signal detector. Thus the less computational power consuming, irregular deploying position of APs and the irregular RSSI variation are all take into consideration when designing WSM. Experiment results show that this method performs better than conventional matrix method and the error correction algorithm, one trilateration in IPS.