Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques

The GNSS LABoratory tool (gLAB) is an interactive educational suite of applications for processing data from the Global Navigation Satellite System (GNSS). gLAB is composed of several data analysis modules that compute the solution of the problem of determining a position by means of GNSS measuremen...

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Autores: Alonso Alonso, María Teresa|||0000-0003-4928-3489, Ferigato, Carlo, Ibáñez Segura, Deimos|||0000-0002-0563-2344, Perrotta, Domenico, Rovira Garcia, Adrià|||0000-0002-7320-5029, Sordini, Emmanuele
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/350752
Acceso en línea:https://hdl.handle.net/2117/350752
https://dx.doi.org/10.3390/stats4020026
Access Level:acceso abierto
Palabra clave:Global Positioning System
Remote sensing--Data processing
GNSS positioning
Robust statistics
GNSS LABoratory
Flexible statistics and data analysis toolbox
Sistema de posicionament global
Àrees temàtiques de la UPC::Aeronàutica i espai::Sistemes CNS/ATM (Communication, Navigation, Surveillance/Air Traffic Management)
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spelling Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniquesAlonso Alonso, María Teresa|||0000-0003-4928-3489Ferigato, CarloIbáñez Segura, Deimos|||0000-0002-0563-2344Perrotta, DomenicoRovira Garcia, Adrià|||0000-0002-7320-5029Sordini, EmmanueleGlobal Positioning SystemRemote sensing--Data processingGNSS positioningRobust statisticsGNSS LABoratoryFlexible statistics and data analysis toolboxSistema de posicionament globalÀrees temàtiques de la UPC::Aeronàutica i espai::Sistemes CNS/ATM (Communication, Navigation, Surveillance/Air Traffic Management)The GNSS LABoratory tool (gLAB) is an interactive educational suite of applications for processing data from the Global Navigation Satellite System (GNSS). gLAB is composed of several data analysis modules that compute the solution of the problem of determining a position by means of GNSS measurements. The present work aimed to improve the pre-fit outlier detection function of gLAB since outliers, if undetected, deteriorate the obtained position coordinates. The methodology exploits robust statistical tools for regression provided by the Flexible Statistics and Data Analysis (FSDA) toolbox, an extension of MATLAB for the analysis of complex datasets. Our results show how the robust analysis FSDA technique improves the capability of detecting actual outliers in GNSS measurements, with respect to the present gLAB pre-fit outlier detection function. This study concludes that robust statistical analysis techniques, when applied to the pre-fit layer of gLAB, improve the overall reliability and accuracy of the positioning solution.This work was supported in part by the Spanish Ministry of Science, Innovation and Universities project RTI2018-094295-B-I00 and in part by the Horizon 2020 Marie Skłodowska-Curie Individual Global Fellowship 797461 NAVSCIN.Peer ReviewedMDPI AG20212021-05-2420212021-09-07journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/350752https://dx.doi.org/10.3390/stats4020026reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-094295-B-I00 DESARROLLO DE UN SISTEMA INTEGRADO DE NAVEGACION POR SATELITE Y NAVEGACION INERCIAL PARA LA NAVEGACION AUTONOMA DE VEHICULOS A ESCALA MUNDIALEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 797461 High Accuracy Navigation under Scintillation Conditionsopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3507522026-05-27T15:37:01Z
dc.title.none.fl_str_mv Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques
title Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques
spellingShingle Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques
Alonso Alonso, María Teresa|||0000-0003-4928-3489
Global Positioning System
Remote sensing--Data processing
GNSS positioning
Robust statistics
GNSS LABoratory
Flexible statistics and data analysis toolbox
Sistema de posicionament global
Àrees temàtiques de la UPC::Aeronàutica i espai::Sistemes CNS/ATM (Communication, Navigation, Surveillance/Air Traffic Management)
title_short Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques
title_full Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques
title_fullStr Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques
title_full_unstemmed Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques
title_sort Analysis of ‘Pre-Fit’ datasets of gLAB by robust statistical techniques
dc.creator.none.fl_str_mv Alonso Alonso, María Teresa|||0000-0003-4928-3489
Ferigato, Carlo
Ibáñez Segura, Deimos|||0000-0002-0563-2344
Perrotta, Domenico
Rovira Garcia, Adrià|||0000-0002-7320-5029
Sordini, Emmanuele
author Alonso Alonso, María Teresa|||0000-0003-4928-3489
author_facet Alonso Alonso, María Teresa|||0000-0003-4928-3489
Ferigato, Carlo
Ibáñez Segura, Deimos|||0000-0002-0563-2344
Perrotta, Domenico
Rovira Garcia, Adrià|||0000-0002-7320-5029
Sordini, Emmanuele
author_role author
author2 Ferigato, Carlo
Ibáñez Segura, Deimos|||0000-0002-0563-2344
Perrotta, Domenico
Rovira Garcia, Adrià|||0000-0002-7320-5029
Sordini, Emmanuele
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Global Positioning System
Remote sensing--Data processing
GNSS positioning
Robust statistics
GNSS LABoratory
Flexible statistics and data analysis toolbox
Sistema de posicionament global
Àrees temàtiques de la UPC::Aeronàutica i espai::Sistemes CNS/ATM (Communication, Navigation, Surveillance/Air Traffic Management)
topic Global Positioning System
Remote sensing--Data processing
GNSS positioning
Robust statistics
GNSS LABoratory
Flexible statistics and data analysis toolbox
Sistema de posicionament global
Àrees temàtiques de la UPC::Aeronàutica i espai::Sistemes CNS/ATM (Communication, Navigation, Surveillance/Air Traffic Management)
description The GNSS LABoratory tool (gLAB) is an interactive educational suite of applications for processing data from the Global Navigation Satellite System (GNSS). gLAB is composed of several data analysis modules that compute the solution of the problem of determining a position by means of GNSS measurements. The present work aimed to improve the pre-fit outlier detection function of gLAB since outliers, if undetected, deteriorate the obtained position coordinates. The methodology exploits robust statistical tools for regression provided by the Flexible Statistics and Data Analysis (FSDA) toolbox, an extension of MATLAB for the analysis of complex datasets. Our results show how the robust analysis FSDA technique improves the capability of detecting actual outliers in GNSS measurements, with respect to the present gLAB pre-fit outlier detection function. This study concludes that robust statistical analysis techniques, when applied to the pre-fit layer of gLAB, improve the overall reliability and accuracy of the positioning solution.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-05-24
2021
2021-09-07
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/350752
https://dx.doi.org/10.3390/stats4020026
url https://hdl.handle.net/2117/350752
https://dx.doi.org/10.3390/stats4020026
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-094295-B-I00 DESARROLLO DE UN SISTEMA INTEGRADO DE NAVEGACION POR SATELITE Y NAVEGACION INERCIAL PARA LA NAVEGACION AUTONOMA DE VEHICULOS A ESCALA MUNDIAL
European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 797461 High Accuracy Navigation under Scintillation Conditions
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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