LED-based indoor positioning system using novel optical pixelation technique

Olaoluwa R. Popoola; Sinan Sinanović; Roberto Ramirez-Iniguez; Wasiu O. Popoola

LED-based indoor positioning system using novel optical pixelation technique

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Author(s): Olaoluwa R. Popoola¹ ; Sinan Sinanović¹ ; Roberto Ramirez-Iniguez¹ ; Wasiu O. Popoola²
- Affiliations: 1: School of Engineering and Built Environment, Glasgow Caledonian University , Glasgow, G4 0BA , UK ;
  2: Institute for Digital Communications, University of Edinburgh , Edinburgh, EH9 3JL , UK
Source: Volume 6, Issue 3, June 2019, p. 76 – 81
DOI: 10.1049/htl.2018.5039 , Online ISSN 2053-3713

This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/)

Received 10/06/2018, Accepted 04/04/2019, Revised 20/02/2019, Published 03/06/2019

At present, about 47 million people worldwide have Alzheimer's disease (AD), and because there is no treatment currently available to cure AD, people with AD (PWAD) are cared for. The estimated cost of care for PWAD in 2016 alone is about $236 billion, which puts a huge burden on relatives of PWAD. This work aims to reduce this burden by proposing an inexpensive indoor positioning system that can be used to monitor PWAD. For the positioning, freeform lenses are used to enable a novel optically pixeled LED luminaire (OPLL) that focuses beams from LEDs to various parts of a room, thereby creating uniquely identifiable regions which are used to improve positioning accuracy. Monte Carlo simulation with the designed OPLL in a room with dimensions $5 m × 5 m × 3 m$ is used to compute the positioning error and theoretical analysis and experiments are used to validate the time for positioning. Results show that by appropriate LED beam design, OPLL has a positioning error and time for positioning of 0.735 m and 187 ms which is 55.1% lower and 1.2 times faster than existing multiple LED estimation model proximity systems.

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LED-based indoor positioning system using novel optical pixelation technique

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