Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods

[EN] The accuracy requirements for sensor network positioning have grown over the last few years due to the high precision demanded in activities related with vehicles and robots. Such systems involve a wide range of specifications which must be met through positioning devices based on time measurem...

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Detalles Bibliográficos
Autores: Álvarez, Rubén, Díez González, Javier, Alonso, Efrén, Fernández Robles, Laura, Castejón Limas, Manuel, Pérez García, Hilde
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/24303
Acceso en línea:https://hdl.handle.net/10612/24303
Access Level:acceso abierto
Palabra clave:Informática
Ingeniería aeroespacial
Ingeniería mecánica
Sensor networks
TDOA
Asynchronous
Cramer-Rao lower bound
Heteroscedasticity
3311 Tecnología de la Instrumentación
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spelling Accuracy Analysis in Sensor Networks for Asynchronous Positioning MethodsÁlvarez, RubénDíez González, JavierAlonso, EfrénFernández Robles, LauraCastejón Limas, ManuelPérez García, HildeInformáticaIngeniería aeroespacialIngeniería mecánicaSensor networksTDOAAsynchronousCramer-Rao lower boundHeteroscedasticity3311 Tecnología de la Instrumentación[EN] The accuracy requirements for sensor network positioning have grown over the last few years due to the high precision demanded in activities related with vehicles and robots. Such systems involve a wide range of specifications which must be met through positioning devices based on time measurement. These systems have been traditionally designed with the synchronization of their sensors in order to compute the position estimation. However, this synchronization introduces an error in the time determination which can be avoided through the centralization of the measurements in a single clock in a coordinate sensor. This can be found in typical architectures such as Asynchronous Time Difference of Arrival (A-TDOA) and Difference-Time Difference of Arrival (D-TDOA) systems. In this paper, a study of the suitability of these new systems based on a Cramér-Rao Lower Bound (CRLB) evaluation was performed for the first time under different 3D real environments for multiple sensor locations. The analysis was carried out through a new heteroscedastic noise variance modelling with a distance-dependent Log-normal path loss propagation model. Results showed that A-TDOA provided less uncertainty in the root mean square error (RMSE) in the positioning, while D-TDOA reduced the standard deviation and increased stability all over the domain.SIMinisterio de Economía, Industria y CompetitividadThis research was funded by the Spanish Ministry of Economy, Industry and Competitiveness, grant number DPI2016-79960-C3-2-P.MDPIIngenieria MecanicaEscuela de Ingenierias Industrial, Informática y Aeroespacial2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://hdl.handle.net/10612/24303reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónInglésinfo:eu-repo/grantAgreement/MINECO//DPI2016-79960-C3-2-Phttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/243032026-06-24T12:43:27Z
dc.title.none.fl_str_mv Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
title Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
spellingShingle Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
Álvarez, Rubén
Informática
Ingeniería aeroespacial
Ingeniería mecánica
Sensor networks
TDOA
Asynchronous
Cramer-Rao lower bound
Heteroscedasticity
3311 Tecnología de la Instrumentación
title_short Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
title_full Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
title_fullStr Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
title_full_unstemmed Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
title_sort Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods
dc.creator.none.fl_str_mv Álvarez, Rubén
Díez González, Javier
Alonso, Efrén
Fernández Robles, Laura
Castejón Limas, Manuel
Pérez García, Hilde
author Álvarez, Rubén
author_facet Álvarez, Rubén
Díez González, Javier
Alonso, Efrén
Fernández Robles, Laura
Castejón Limas, Manuel
Pérez García, Hilde
author_role author
author2 Díez González, Javier
Alonso, Efrén
Fernández Robles, Laura
Castejón Limas, Manuel
Pérez García, Hilde
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ingenieria Mecanica
Escuela de Ingenierias Industrial, Informática y Aeroespacial
dc.subject.none.fl_str_mv Informática
Ingeniería aeroespacial
Ingeniería mecánica
Sensor networks
TDOA
Asynchronous
Cramer-Rao lower bound
Heteroscedasticity
3311 Tecnología de la Instrumentación
topic Informática
Ingeniería aeroespacial
Ingeniería mecánica
Sensor networks
TDOA
Asynchronous
Cramer-Rao lower bound
Heteroscedasticity
3311 Tecnología de la Instrumentación
description [EN] The accuracy requirements for sensor network positioning have grown over the last few years due to the high precision demanded in activities related with vehicles and robots. Such systems involve a wide range of specifications which must be met through positioning devices based on time measurement. These systems have been traditionally designed with the synchronization of their sensors in order to compute the position estimation. However, this synchronization introduces an error in the time determination which can be avoided through the centralization of the measurements in a single clock in a coordinate sensor. This can be found in typical architectures such as Asynchronous Time Difference of Arrival (A-TDOA) and Difference-Time Difference of Arrival (D-TDOA) systems. In this paper, a study of the suitability of these new systems based on a Cramér-Rao Lower Bound (CRLB) evaluation was performed for the first time under different 3D real environments for multiple sensor locations. The analysis was carried out through a new heteroscedastic noise variance modelling with a distance-dependent Log-normal path loss propagation model. Results showed that A-TDOA provided less uncertainty in the root mean square error (RMSE) in the positioning, while D-TDOA reduced the standard deviation and increased stability all over the domain.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10612/24303
url https://hdl.handle.net/10612/24303
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO//DPI2016-79960-C3-2-P
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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