Integrated Bluetooth Fingerprinting and Pedestrian Dead Reckoning for Indoor Positioning on Apple’s iOS platform
نویسندگان
چکیده
In this paper, we propose an innovative and low-cost hybrid indoor positioning system using various sensors on the mobile platform. This system consists of a pedestrian dead reckoning (PDR) part based on the encapsulated Application Programming Interface (API) of Apple’s iOS platform and a low-cost Bluetooth Low Energy (BLE) fingerprinting calibration part. Pedestrian position information can be deduced from the PDR algorithm by applying distance and heading estimation and can be calibrated by a fingerprinting positioning matching algorithm. This hybrid positioning system improves the performance of the conventional PDR position algorithm which suffers from accumulated errors over time. Finally, the results obtained from evaluation test indicate that the proposed positioning system applying hybrid techniques is practical in indoor environment.
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