Spatial statistical analysis for the design of indoor particle-filter-based localization mechanisms

Martínez Gómez, Jesús, Martínez del Horno, Miguel, Castillo Cara, Manuel, Brea Luján, Victor Manuel, Orozco Barbosa, Luis y García Varea, Ismael . (2016) Spatial statistical analysis for the design of indoor particle-filter-based localization mechanisms. Journal of Distributed Sensor Networks. 2016;12(8)

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Título Spatial statistical analysis for the design of indoor particle-filter-based localization mechanisms
Autor(es) Martínez Gómez, Jesús
Martínez del Horno, Miguel
Castillo Cara, Manuel
Brea Luján, Victor Manuel
Orozco Barbosa, Luis
García Varea, Ismael
Materia(s) Informática
Abstract The accurate localization of end-users and resources is seen as one of the main pillars toward the successful implementation of context-based applications. While current outdoor localization mechanisms fulfill most application requirements, the design of accurate indoor localization mechanisms is still an open issue. Most research efforts are focusing on the design of mechanisms making use of the receiver signal strength indications generated by WLAN (wireless local area network) devices. However, the accuracy and robustness of such mechanisms can be severely compromised due to the random and unpredictable nature of radio channels. In this article, we develop a methodology incorporating various algorithms capable of coping with the unpredictable nature of radio channels. Following a holistic approach, we start by identifying the wireless equipment parameter setting, better meeting the implementation requirements of a robust indoor localization mechanism. We then make use of RANdom SAmple Consensus paradigm: a robust model-fitting mechanism capable of smoothing the data captured during the space survey. Using an experimental setup, we evaluate the benefits of integrating the floor plan and an ordinary Kriging interpolation algorithm in the estimation process. Our main findings show that our proposal can greatly improve the quality of the information to be used in the development of particle-filter-based indoor localization mechanisms.
Palabras clave Localization
mobile devices
signal processing
model fitting
wireless local area networks
spatial analysis
Editor(es) SAGE
Fecha 2016-08-24
Formato application/pdf
Identificador bibliuned:95-Jmcastillo-0007
http://e-spacio.uned.es/fez/view/bibliuned:95-Jmcastillo-0007
DOI - identifier https://doi.org/10.1177/1550147716661953
Nombre de la revista Journal of Distributed Sensor Networks
Publicado en la Revista Journal of Distributed Sensor Networks. 2016;12(8)
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by/3.0/deed.en
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in "Journal of Distributed Sensor Networks. 2016;12(8)", is available online at the publisher's website: https://doi.org/10.1177/15501477166619
Notas adicionales The registered version of this article, first published in "Journal of Distributed Sensor Networks. 2016;12(8)", is available online at the publisher's website: https://doi.org/10.1177/15501477166619

 
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Creado: Tue, 30 Jan 2024, 00:37:23 CET