Wireless location tracking by a sensor-assisted particle filter and floor plans in a 2.5-D space

Chi Chung Lo, Ting Hui Chiang, Tsu Kuang Lee, Ling Jyh Chen, Yu Chee Tseng

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

1 Citation (Scopus)

Abstract

Indoor localization systems have attracted considerable attention recently. A lot of works have used wireless signals from existing base stations to track users' locations. The major challenge to such systems is the signal-drifting problem. A promising direction to conquer this problem is to fuse the tracked wireless signals with inertial sensing data. In this work, we consider location tracking in a multi-floor building, which we call a 2.5-D space, by taking wireless signals, inertial sensing data, and indoor floor plans of a 2.5-D space as inputs and building a SPF (sensor-assisted particle filter) model to fuse these data. Inertial sensors are to capture human mobility, while particles reflect our belief of the user's potential locations. Our work makes the following contributions. First, we propose a model to partition a 2.5-D space into multiple floors connected by stairs and elevators and further partition each floor, according to its floor plan, into logical units connected by passages. Second, based on the 2.5D space model, we then propose particle sampling and resampling mechanisms over the logical units using wireless signal strengths and inertial sensing data to adjust our beliefs of the user's potential locations. Third, to conquer the signal-drifting problem, we propose a weighting mechanism to control the distribution of particles based on user's activities of walking on grounds/stairs and taking elevators. A prototype has been developed and tested to verify the model and its accuracy.

Original languageEnglish
Title of host publication2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538617342
DOIs
Publication statusPublished - 2018 Jun 8
Event2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain
Duration: 2018 Apr 152018 Apr 18

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2018-April
ISSN (Print)1525-3511

Other

Other2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
CountrySpain
CityBarcelona
Period18/4/1518/4/18

Keywords

  • Location tracking
  • Location-based service
  • Particle filter
  • Pedestrian dead-reckoning
  • Sensor network

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Wireless location tracking by a sensor-assisted particle filter and floor plans in a 2.5-D space'. Together they form a unique fingerprint.

  • Cite this

    Lo, C. C., Chiang, T. H., Lee, T. K., Chen, L. J., & Tseng, Y. C. (2018). Wireless location tracking by a sensor-assisted particle filter and floor plans in a 2.5-D space. In 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 (pp. 1-6). (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2018.8377214