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Indoor Smartphone Localization Based on LOS and NLOS Identification

Accurate localization technology is essential for providing location-based services. Global positioning system (GPS) is a typical localization technology that has been used in various fields. However, various indoor localization techniques are required because GPS signals cannot be received in indoo...

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Autores principales: Jo, Hyeon Jeong, Kim, Seungku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263745/
https://www.ncbi.nlm.nih.gov/pubmed/30453507
http://dx.doi.org/10.3390/s18113987
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author Jo, Hyeon Jeong
Kim, Seungku
author_facet Jo, Hyeon Jeong
Kim, Seungku
author_sort Jo, Hyeon Jeong
collection PubMed
description Accurate localization technology is essential for providing location-based services. Global positioning system (GPS) is a typical localization technology that has been used in various fields. However, various indoor localization techniques are required because GPS signals cannot be received in indoor environments. Typical indoor localization methods use the time of arrival, angle of arrival, or the strength of the wireless communication signal to determine the location. In this paper, we propose an indoor localization scheme using signal strength that can be easily implemented in a smartphone. The proposed algorithm uses a trilateration method to estimate the position of the smartphone. The accuracy of the trilateration method depends on the distance estimation error. We first determine whether the propagation path is line-of-sight (LOS) or non-line-of-sight (NLOS), and distance estimation is performed accordingly. This LOS and NLOS identification method decreases the distance estimation error. The proposed algorithm is implemented as a smartphone application. The experimental results show that distance estimation error is significantly reduced, resulting in accurate localization.
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spelling pubmed-62637452018-12-12 Indoor Smartphone Localization Based on LOS and NLOS Identification Jo, Hyeon Jeong Kim, Seungku Sensors (Basel) Article Accurate localization technology is essential for providing location-based services. Global positioning system (GPS) is a typical localization technology that has been used in various fields. However, various indoor localization techniques are required because GPS signals cannot be received in indoor environments. Typical indoor localization methods use the time of arrival, angle of arrival, or the strength of the wireless communication signal to determine the location. In this paper, we propose an indoor localization scheme using signal strength that can be easily implemented in a smartphone. The proposed algorithm uses a trilateration method to estimate the position of the smartphone. The accuracy of the trilateration method depends on the distance estimation error. We first determine whether the propagation path is line-of-sight (LOS) or non-line-of-sight (NLOS), and distance estimation is performed accordingly. This LOS and NLOS identification method decreases the distance estimation error. The proposed algorithm is implemented as a smartphone application. The experimental results show that distance estimation error is significantly reduced, resulting in accurate localization. MDPI 2018-11-16 /pmc/articles/PMC6263745/ /pubmed/30453507 http://dx.doi.org/10.3390/s18113987 Text en © 2018 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
Jo, Hyeon Jeong
Kim, Seungku
Indoor Smartphone Localization Based on LOS and NLOS Identification
title Indoor Smartphone Localization Based on LOS and NLOS Identification
title_full Indoor Smartphone Localization Based on LOS and NLOS Identification
title_fullStr Indoor Smartphone Localization Based on LOS and NLOS Identification
title_full_unstemmed Indoor Smartphone Localization Based on LOS and NLOS Identification
title_short Indoor Smartphone Localization Based on LOS and NLOS Identification
title_sort indoor smartphone localization based on los and nlos identification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263745/
https://www.ncbi.nlm.nih.gov/pubmed/30453507
http://dx.doi.org/10.3390/s18113987
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