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Sensors 2017, 17(4), 847; doi:10.3390/s17040847

Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation

1
Department of electronics, University of Alcalá, Alcalá de Henares, 28801 Madrid, Spain
2
Informatics Engineering Department, Eastern Macedonia and Thrace Institute of Technology, 65404 Kavala, Greece
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 27 February 2017 / Revised: 3 April 2017 / Accepted: 7 April 2017 / Published: 13 April 2017

Abstract

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. View Full-Text
Keywords: reflection model; IR signals; multipath propagation; local positioning systems reflection model; IR signals; multipath propagation; local positioning systems
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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).

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MDPI and ACS Style

De-La-Llana-Calvo, Á.; Lázaro-Galilea, J.L.; Gardel-Vicente, A.; Rodríguez-Navarro, D.; Bravo-Muñoz, I.; Tsirigotis, G.; Iglesias-Miguel, J. Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation. Sensors 2017, 17, 847.

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