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Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort †
Although much research has taken place in WiFi indoor localization systems, their accuracy can still be improved. When designing this kind of system, fingerprint-based methods are a common choice. The problem with fingerprint-based methods comes with the need of site surveying the environment, which...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298720/ https://www.ncbi.nlm.nih.gov/pubmed/28098773 http://dx.doi.org/10.3390/s17010147 |
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author | Hernández, Noelia Ocaña, Manuel Alonso, Jose M. Kim, Euntai |
author_facet | Hernández, Noelia Ocaña, Manuel Alonso, Jose M. Kim, Euntai |
author_sort | Hernández, Noelia |
collection | PubMed |
description | Although much research has taken place in WiFi indoor localization systems, their accuracy can still be improved. When designing this kind of system, fingerprint-based methods are a common choice. The problem with fingerprint-based methods comes with the need of site surveying the environment, which is effort consuming. In this work, we propose an approach, based on support vector regression, to estimate the received signal strength at non-site-surveyed positions of the environment. Experiments, performed in a real environment, show that the proposed method could be used to improve the resolution of fingerprint-based indoor WiFi localization systems without increasing the site survey effort. |
format | Online Article Text |
id | pubmed-5298720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-52987202017-02-10 Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort † Hernández, Noelia Ocaña, Manuel Alonso, Jose M. Kim, Euntai Sensors (Basel) Article Although much research has taken place in WiFi indoor localization systems, their accuracy can still be improved. When designing this kind of system, fingerprint-based methods are a common choice. The problem with fingerprint-based methods comes with the need of site surveying the environment, which is effort consuming. In this work, we propose an approach, based on support vector regression, to estimate the received signal strength at non-site-surveyed positions of the environment. Experiments, performed in a real environment, show that the proposed method could be used to improve the resolution of fingerprint-based indoor WiFi localization systems without increasing the site survey effort. MDPI 2017-01-13 /pmc/articles/PMC5298720/ /pubmed/28098773 http://dx.doi.org/10.3390/s17010147 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 Hernández, Noelia Ocaña, Manuel Alonso, Jose M. Kim, Euntai Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort † |
title | Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort † |
title_full | Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort † |
title_fullStr | Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort † |
title_full_unstemmed | Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort † |
title_short | Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort † |
title_sort | continuous space estimation: increasing wifi-based indoor localization resolution without increasing the site-survey effort † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298720/ https://www.ncbi.nlm.nih.gov/pubmed/28098773 http://dx.doi.org/10.3390/s17010147 |
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