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      Modeling Infrared Signal Reflections to Characterize Indoor Multipath Propagation

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          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.

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          Most cited references28

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          Illumination for computer generated pictures

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            Ranging With Ultrawide Bandwidth Signals in Multipath Environments

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              Theory for Off-Specular Reflection From Roughened Surfaces*

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                13 April 2017
                April 2017
                : 17
                : 4
                : 847
                Affiliations
                [1 ]Department of electronics, University of Alcalá, Alcalá de Henares, 28801 Madrid, Spain; alvaro.llana@ 123456uah.es (Á.D.-L.-L.-L-C.); alfredo.gardel@ 123456uah.es (A.G.-V.); david.rodriguezn@ 123456edu.uah.es (D.R.-N.); ignacio.bravo@ 123456uah.es (I.B.-M.); juan.iglesiasm@ 123456edu.uah.es (J.I.-M.)
                [2 ]Informatics Engineering Department, Eastern Macedonia and Thrace Institute of Technology, 65404 Kavala, Greece; tsirigo@ 123456teiemt.gr
                Author notes
                [* ]Correspondence: josel.lazaro@ 123456uah.es ; Tel.: +34-918-856-562
                Article
                sensors-17-00847
                10.3390/s17040847
                5424724
                28406436
                6057f7b0-31f6-4f4e-9193-1a34697a572a
                © 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/).

                History
                : 27 February 2017
                : 07 April 2017
                Categories
                Article

                Biomedical engineering
                reflection model,ir signals,multipath propagation,local positioning systems

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