VLC-based indoor positioning system with tracking capability using Kalman and particle filters

Divya Ganti, Weizhi Zhang, Mohsen Kavehrad

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

39 Scopus citations

Abstract

An indoor navigation system based on visible light communication (VLC) technology is proposed in this paper. Indoor positioning is realized by a received-signal-strength(RSS)-based method using modulated light-emitting-diodes (LEDs). In addition to the simple positioning, we use Kalman and particle filters to give the system tracking capability. Simulation results show that particle filtering converges to the true track faster than Kalman filtering, at the price of higher computational complexity.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Consumer Electronics, ICCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages476-477
Number of pages2
ISBN (Print)9781479912919
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States
Duration: Jan 10 2014Jan 13 2014

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2014 IEEE International Conference on Consumer Electronics, ICCE 2014
CountryUnited States
CityLas Vegas, NV
Period1/10/141/13/14

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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    Ganti, D., Zhang, W., & Kavehrad, M. (2014). VLC-based indoor positioning system with tracking capability using Kalman and particle filters. In 2014 IEEE International Conference on Consumer Electronics, ICCE 2014 (pp. 476-477). [6776093] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2014.6776093