Developing a Novel Real-Time Indoor Positioning System Based on BLE Beacons and Smartphone Sensors

In this work, we study the problem of fusing one Pedestrian-Dead-Reckoning-based (PDR-based) position measurement and one instant Received-Signal-Strength-based (RSS-based) position measurement. This situation can arise in a smartphone-based indoor positioning system when we want to locate a moving...

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Veröffentlicht in:	IEEE sensors journal 2021-10, Vol.21 (20), p.23055-23068
Hauptverfasser:	Dinh, Thai-Mai Thi, Duong, Ngoc-Son, Nguyen, Quoc-Tuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes fusion BLE beacon Bluetooth Low Energy Dead reckoning Estimation Heterogeneity indoor localization indoor positioning system Kalman filters least square estimation Location awareness Moving targets Normal distribution pedestrian dead reckoning Position measurement Real time Real-time systems Sampling Sensor systems Sensors Smartphones Uncertainty Wireless fidelity
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