Next Article in Journal
Automatic Railway Traffic Object Detection System Using Feature Fusion Refine Neural Network under Shunting Mode
Previous Article in Journal
Measurement Uncertainty Calculations for pH Value Obtained by an Ion-Selective Electrode
Previous Article in Special Issue
Time-Sharing-Based Synchronization and Performance Evaluation of Color-Independent Visual-MIMO Communication
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(6), 1917; https://doi.org/10.3390/s18061917

Two-Phase Framework for Indoor Positioning Systems Using Visible Light

Department of Electrical and Computer Engineering, College of Engineering, Boston University, Boston, MA 02215, USA
This work was presented partially at “Prince, G.B.; Little, T.D. A two phase hybrid RSS/AoA algorithm for indoor device localization using visible light. In Proceedings of 2012 IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, USA, 3–7 December 2012; pp. 3347–3352.” and “Prince, G.B.; Little, T.D. Latency constrained device positioning using a visible light communication two-phase received signal strength—angle of arrival algorithm. In Proceedings of the 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Banff, AB, Canada, 13–16 October 2015; pp. 1–7”.
*
Author to whom correspondence should be addressed.
Received: 27 March 2018 / Revised: 19 May 2018 / Accepted: 5 June 2018 / Published: 12 June 2018
(This article belongs to the Special Issue Visible Light Communication Networks)
Full-Text   |   PDF [3071 KB, uploaded 13 June 2018]   |  

Abstract

Recently with the advancement of solid state lighting and the application thereof to Visible Light Communications (VLC), the concept of Visible Light Positioning (VLP) has been targeted as a very attractive indoor positioning system (IPS) due to its ubiquity, directionality, spatial reuse, and relatively high modulation bandwidth. IPSs, in general, have four major components: (1) a modulation, (2) a multiple access scheme, (3) a channel measurement, and (4) a positioning algorithm. A number of VLP approaches have been proposed in the literature and primarily focus on a fixed combination of these elements and moreover evaluate the quality of the contribution often by accuracy or precision alone. In this article, we provide a novel two-phase indoor positioning algorithmic framework that is able to increase robustness when subject to insufficient anchor luminaries and also incorporate any combination of the four major IPS components. View Full-Text
Keywords: indoor positioning; RSS; AoA; ToF; trilateration; triangulation; proximity; FDMA; CDMA; TDMA; OFDM; PPM; OOK; PAM; visible light indoor positioning; RSS; AoA; ToF; trilateration; triangulation; proximity; FDMA; CDMA; TDMA; OFDM; PPM; OOK; PAM; visible light
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Prince, G.B.; Little, T.D.C. Two-Phase Framework for Indoor Positioning Systems Using Visible Light . Sensors 2018, 18, 1917.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top