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Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation
In this paper, we propose a model to characterize Infrared (IR) signal reflections on any kind of surface material, together with a simplified procedure to compute the model parameters. The model works within the framework of Local Positioning Systems (LPS) based on IR signals (IR-LPS) to evaluate t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424724/ https://www.ncbi.nlm.nih.gov/pubmed/28406436 http://dx.doi.org/10.3390/s17040847 |
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author | De-La-Llana-Calvo, Álvaro Lázaro-Galilea, José Luis Gardel-Vicente, Alfredo Rodríguez-Navarro, David Bravo-Muñoz, Ignacio Tsirigotis, Georgios Iglesias-Miguel, Juan |
author_facet | De-La-Llana-Calvo, Álvaro Lázaro-Galilea, José Luis Gardel-Vicente, Alfredo Rodríguez-Navarro, David Bravo-Muñoz, Ignacio Tsirigotis, Georgios Iglesias-Miguel, Juan |
author_sort | De-La-Llana-Calvo, Álvaro |
collection | PubMed |
description | In this paper, we propose a model to characterize Infrared (IR) signal reflections on any kind of surface material, together with a simplified procedure to compute the model parameters. The model works within the framework of Local Positioning Systems (LPS) based on IR signals (IR-LPS) to evaluate the behavior of transmitted signal Multipaths (MP), which are the main cause of error in IR-LPS, and makes several contributions to mitigation methods. Current methods are based on physics, optics, geometry and empirical methods, but these do not meet our requirements because of the need to apply several different restrictions and employ complex tools. We propose a simplified model based on only two reflection components, together with a method for determining the model parameters based on 12 empirical measurements that are easily performed in the real environment where the IR-LPS is being applied. Our experimental results show that the model provides a comprehensive solution to the real behavior of IR MP, yielding small errors when comparing real and modeled data (the mean error ranges from 1% to 4% depending on the environment surface materials). Other state-of-the-art methods yielded mean errors ranging from 15% to 40% in test measurements. |
format | Online Article Text |
id | pubmed-5424724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54247242017-05-12 Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation De-La-Llana-Calvo, Álvaro Lázaro-Galilea, José Luis Gardel-Vicente, Alfredo Rodríguez-Navarro, David Bravo-Muñoz, Ignacio Tsirigotis, Georgios Iglesias-Miguel, Juan Sensors (Basel) Article In this paper, we propose a model to characterize Infrared (IR) signal reflections on any kind of surface material, together with a simplified procedure to compute the model parameters. The model works within the framework of Local Positioning Systems (LPS) based on IR signals (IR-LPS) to evaluate the behavior of transmitted signal Multipaths (MP), which are the main cause of error in IR-LPS, and makes several contributions to mitigation methods. Current methods are based on physics, optics, geometry and empirical methods, but these do not meet our requirements because of the need to apply several different restrictions and employ complex tools. We propose a simplified model based on only two reflection components, together with a method for determining the model parameters based on 12 empirical measurements that are easily performed in the real environment where the IR-LPS is being applied. Our experimental results show that the model provides a comprehensive solution to the real behavior of IR MP, yielding small errors when comparing real and modeled data (the mean error ranges from 1% to 4% depending on the environment surface materials). Other state-of-the-art methods yielded mean errors ranging from 15% to 40% in test measurements. MDPI 2017-04-13 /pmc/articles/PMC5424724/ /pubmed/28406436 http://dx.doi.org/10.3390/s17040847 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article De-La-Llana-Calvo, Álvaro Lázaro-Galilea, José Luis Gardel-Vicente, Alfredo Rodríguez-Navarro, David Bravo-Muñoz, Ignacio Tsirigotis, Georgios Iglesias-Miguel, Juan Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation |
title | Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation |
title_full | Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation |
title_fullStr | Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation |
title_full_unstemmed | Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation |
title_short | Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation |
title_sort | modeling infrared signal reflections to characterize indoor multipath propagation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424724/ https://www.ncbi.nlm.nih.gov/pubmed/28406436 http://dx.doi.org/10.3390/s17040847 |
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