A Low-Cost Indoor-Positioning System with Bluetooth Smart

碩士 === 國立中正大學 === 通訊工程研究所 === 103 === Several positioning systems have been developed for precise indoor object localization recently. To our knowledge, indoor positioning systems nowadays still have some shortcoming, such as imprecise localization, high cost of installation, requiring a lot of pre-...

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Bibliographic Details
Main Authors: Tzu-Ting Lin, 林子婷
Other Authors: Huang-Chen Lee
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/279qay
Description
Summary:碩士 === 國立中正大學 === 通訊工程研究所 === 103 === Several positioning systems have been developed for precise indoor object localization recently. To our knowledge, indoor positioning systems nowadays still have some shortcoming, such as imprecise localization, high cost of installation, requiring a lot of pre-test and building model, etc. However, in real life, some applications of localization don’t has to be very precise, e.g. tracking the position of pupils in the school, locating elderly people in nursing homes. In these cases, we only need roughly to locate which areas or rooms are they in, and these results are useful enough to us. Based on this idea, we propose a low-cost indoor positioning system can track people who carrying a Smartphone or Tablet in building. The propose system only needs to install low-power Bluetooth transmitters at the junctions of interior spaces. Low-power Bluetooth transmitters are installed at the doors and stair entrances and broadcasting the Bluetooth signal. The designed program running on a mobile device keeps recording the device name, RSSI (Received Signal Strength Indication) from the Bluetooth transmitters, and acceleration and moving azimuth of the device. By the proposed algorithm in the study, the collected data assist us to determine whether the person entry or exit a room, walk up or down a floor. In this study, we conducted proof-of-concept experiments and demonstrated the correctness of the design. The results show the hit rate of tracking people's moving path is up to 97.5% while missing rate is 10% at most. In the future, this design can also be used in indoor navigation such as in museum, shopping mall, to bring this technology in the real world while keeping the cost of devices, installation and maintain become affordable.