Ma, Chengqi; (2022) Mobile Phone Based Indoor Positioning Systems. Doctoral thesis (Ph.D), UCL (University College London).

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Abstract

Indoor Positioning Systems (IPS) are increasingly needed as we spend more time indoors and as we require location-based services such as navigation, safety management and Internet of Things (IoT), where Global Navigation Satellite System (GNSS)/Global Positioning System (GPS) were denied (or with poor service). Commercial-Off-The-Shelf (COTS) mobile phones have embedded wireless cards (supporting Wi-Fi) and inertial measurement sensors (e.g. gyroscopes, accelerometers and magnetometers) and other sensors such as barometers and cameras. The sensors, computing and communication power of the phone give a variety of methods to find the user’s position. In this research, three novel IPSs are proposed, implemented, demonstrated and results are analysed to achieve a better positioning accuracy than previously published research. 1) Pedestrian Dead Reckoning (PDR) supported Wi-Fi fingerprinting positioning system designed for complex underground stations. 2)Wi-Fi Round Trip Time (RTT) ranging technique IPS design and performancecharacterisation. 3) Adaptive Human Activity-aided PDR (HAA-PDR) IPS which makes use of automatic recognition of a person’s movement or activity. Experimental procedures were devised to test these IPSs in real working environments on multiple floors. All three novel IPSs demonstrate improved location accuracy and can calculate precise trajectory tracks in 3D multi-floor environments.

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