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LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning

Recent advancements in indoor positioning systems are based on infrastructure-free solutions, aimed at improving the location accuracy in complex indoor environments without the use of specialized resources. A popular infrastructure-free solution for indoor positioning is a calibration-based positio...

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Detalles Bibliográficos
Autores principales: Ali, Muhammad Usman, Hur, Soojung, Park, Yongwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492782/
https://www.ncbi.nlm.nih.gov/pubmed/28587088
http://dx.doi.org/10.3390/s17061213
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author Ali, Muhammad Usman
Hur, Soojung
Park, Yongwan
author_facet Ali, Muhammad Usman
Hur, Soojung
Park, Yongwan
author_sort Ali, Muhammad Usman
collection PubMed
description Recent advancements in indoor positioning systems are based on infrastructure-free solutions, aimed at improving the location accuracy in complex indoor environments without the use of specialized resources. A popular infrastructure-free solution for indoor positioning is a calibration-based positioning, commonly known as fingerprinting. Fingerprinting solutions require extensive and error-free surveys of environments to build radio-map databases, which play a key role in position estimation. Fingerprinting also requires random updates of the database, when there are significant changes in the environment or a decrease in the accuracy. The calibration of the fingerprinting database is a time-consuming and laborious effort that prevents the extensive adoption of this technique. In this paper, we present a systematic LOCALIzation approach, “LOCALI”, for indoor positioning, which does not require a calibration database and extensive updates. The LOCALI exploits the floor plan/wall map of the environment to estimate the target position by generating radio maps by integrating path-losses over certain trajectories in complex indoor environments, where triangulation using time information or the received signal strength level is highly erroneous due to the fading effects caused by multi-path propagation or absorption by environmental elements or varying antenna alignment. Experimental results demonstrate that by using the map information and environmental parameters, a significant level of accuracy in indoor positioning can be achieved. Moreover, this process requires considerably lesser effort compared to the calibration-based techniques.
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spelling pubmed-54927822017-07-03 LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning Ali, Muhammad Usman Hur, Soojung Park, Yongwan Sensors (Basel) Article Recent advancements in indoor positioning systems are based on infrastructure-free solutions, aimed at improving the location accuracy in complex indoor environments without the use of specialized resources. A popular infrastructure-free solution for indoor positioning is a calibration-based positioning, commonly known as fingerprinting. Fingerprinting solutions require extensive and error-free surveys of environments to build radio-map databases, which play a key role in position estimation. Fingerprinting also requires random updates of the database, when there are significant changes in the environment or a decrease in the accuracy. The calibration of the fingerprinting database is a time-consuming and laborious effort that prevents the extensive adoption of this technique. In this paper, we present a systematic LOCALIzation approach, “LOCALI”, for indoor positioning, which does not require a calibration database and extensive updates. The LOCALI exploits the floor plan/wall map of the environment to estimate the target position by generating radio maps by integrating path-losses over certain trajectories in complex indoor environments, where triangulation using time information or the received signal strength level is highly erroneous due to the fading effects caused by multi-path propagation or absorption by environmental elements or varying antenna alignment. Experimental results demonstrate that by using the map information and environmental parameters, a significant level of accuracy in indoor positioning can be achieved. Moreover, this process requires considerably lesser effort compared to the calibration-based techniques. MDPI 2017-05-25 /pmc/articles/PMC5492782/ /pubmed/28587088 http://dx.doi.org/10.3390/s17061213 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
Ali, Muhammad Usman
Hur, Soojung
Park, Yongwan
LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning
title LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning
title_full LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning
title_fullStr LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning
title_full_unstemmed LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning
title_short LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning
title_sort locali: calibration-free systematic localization approach for indoor positioning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492782/
https://www.ncbi.nlm.nih.gov/pubmed/28587088
http://dx.doi.org/10.3390/s17061213
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