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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...

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Autores principales: De-La-Llana-Calvo, Álvaro, Lázaro-Galilea, José Luis, Gardel-Vicente, Alfredo, Rodríguez-Navarro, David, Bravo-Muñoz, Ignacio, Tsirigotis, Georgios, Iglesias-Miguel, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
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.
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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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