| Summary: | 碩士 === 國立交通大學 === 網路工程研究所 === 103 === There are explosive demands on indoor localization services due to the popularity of mobile devices. Although there exist a lot of related studies, a new technology, Bluetooth Low Energy (BLE), has led to a new opportunity for low-cost localization. In this research, we propose a new concept called adaptive ranging and apply the concept to two directions, multi-lateration and mobile encountering, for improving the convenience and accuracy of indoor localization. With the proposed adaptive ranging technique, the wireless signal unstable problem due to environmental dynamics is greatly relieved. Central to own design is an inter-beacon measurement to understand the transient environment conditions and predict the distance between
two BLE devices. We integrate these information under a particle filter (PF) framework that allows users to collaboratively calibrate each other's location. Extensive experiment results are presented to validate our claims.
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