An accurate indoor positioning algorithm using particle filter based on the proximity of bluetooth beacons

Ryoya Momose, Tomoyuki Nitta, Masao Yanagisawa, Nozomu Togawa

    研究成果: Conference contribution

    8 引用 (Scopus)

    抜粋

    Indoor positioning without GPS is one of the most important problems in indoor pedestrian navigation. In this paper, we propose an accurate indoor positioning algorithm using a particle filter based on a floormap, where we use the proximity of the Bluetooth beacons as well as acceleration and geomagnetic sensors. In designing the likelihood function in the particle filter, we effectively use the proximity of the Bluetooth beacons, which just gives rough distance to the target beacon but more stable than conventional RSSI-based distance estimation. In addition to that, by effectively utilizing a floormap, the accumulated positioning errors due to the acceleration and geomagnetic sensors are much reduced. Moreover, when the radio waves from the Bluetooth beacons are blocked by obstacles, we can also take it into account in designing the likelihood function in the particle filter. Experimental results demonstrate that our algorithm can reduce the indoor positioning errors by up to 79% compared to several conventional algorithms.

    元の言語English
    ホスト出版物のタイトル2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ1-5
    ページ数5
    2017-January
    ISBN(電子版)9781509040452
    DOI
    出版物ステータスPublished - 2017 12 19
    イベント6th IEEE Global Conference on Consumer Electronics, GCCE 2017 - Nagoya, Japan
    継続期間: 2017 10 242017 10 27

    Other

    Other6th IEEE Global Conference on Consumer Electronics, GCCE 2017
    Japan
    Nagoya
    期間17/10/2417/10/27

    ASJC Scopus subject areas

    • Media Technology
    • Instrumentation
    • Electrical and Electronic Engineering

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  • これを引用

    Momose, R., Nitta, T., Yanagisawa, M., & Togawa, N. (2017). An accurate indoor positioning algorithm using particle filter based on the proximity of bluetooth beacons. : 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017 (巻 2017-January, pp. 1-5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2017.8229229