Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment

In this paper, we present a statistical model of an indirect path generated in an ultra-wideband (UWB) human tracking scenario. When performing moving target detection, an indirect path signal can generate ghost targets that may cause a false alarm. For this purpose, we performed radar measurements...

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Detalles Bibliográficos
Autores principales: Lee, Moona, Lee, Joon-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298616/
https://www.ncbi.nlm.nih.gov/pubmed/28035978
http://dx.doi.org/10.3390/s17010043
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author Lee, Moona
Lee, Joon-Yong
author_facet Lee, Moona
Lee, Joon-Yong
author_sort Lee, Moona
collection PubMed
description In this paper, we present a statistical model of an indirect path generated in an ultra-wideband (UWB) human tracking scenario. When performing moving target detection, an indirect path signal can generate ghost targets that may cause a false alarm. For this purpose, we performed radar measurements in an indoor environment and established a statistical model of an indirect path based on the measurement data. The proposed model takes the form of a modified Saleh–Valenzuela model, which is used in a UWB channel model. An application example of the proposed model for mitigating false alarms is also presented.
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spelling pubmed-52986162017-02-10 Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment Lee, Moona Lee, Joon-Yong Sensors (Basel) Article In this paper, we present a statistical model of an indirect path generated in an ultra-wideband (UWB) human tracking scenario. When performing moving target detection, an indirect path signal can generate ghost targets that may cause a false alarm. For this purpose, we performed radar measurements in an indoor environment and established a statistical model of an indirect path based on the measurement data. The proposed model takes the form of a modified Saleh–Valenzuela model, which is used in a UWB channel model. An application example of the proposed model for mitigating false alarms is also presented. MDPI 2016-12-27 /pmc/articles/PMC5298616/ /pubmed/28035978 http://dx.doi.org/10.3390/s17010043 Text en © 2016 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
Lee, Moona
Lee, Joon-Yong
Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment
title Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment
title_full Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment
title_fullStr Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment
title_full_unstemmed Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment
title_short Statistical Modeling of Indirect Paths for UWB Sensors in an Indoor Environment
title_sort statistical modeling of indirect paths for uwb sensors in an indoor environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298616/
https://www.ncbi.nlm.nih.gov/pubmed/28035978
http://dx.doi.org/10.3390/s17010043
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AT leejoonyong statisticalmodelingofindirectpathsforuwbsensorsinanindoorenvironment

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