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

Ryoya Momose, Tomoyuki Nitta, Masao Yanagisawa, Nozomu Togawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-5
    Number of pages5
    Volume2017-January
    ISBN (Electronic)9781509040452
    DOIs
    Publication statusPublished - 2017 Dec 19
    Event6th IEEE Global Conference on Consumer Electronics, GCCE 2017 - Nagoya, Japan
    Duration: 2017 Oct 242017 Oct 27

    Other

    Other6th IEEE Global Conference on Consumer Electronics, GCCE 2017
    CountryJapan
    CityNagoya
    Period17/10/2417/10/27

    ASJC Scopus subject areas

    • Media Technology
    • Instrumentation
    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'An accurate indoor positioning algorithm using particle filter based on the proximity of bluetooth beacons'. Together they form a unique fingerprint.

  • Cite this

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