Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques

Descripción del Articulo

Poster presented at the 2020 CEDAR Virtual Meeting, June 22-26.
Detalles Bibliográficos
Autores: Fajardo, G., Pacheco, Edgardo E.
Formato: objeto de conferencia
Fecha de Publicación:2020
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/4800
Enlace del recurso:http://hdl.handle.net/20.500.12816/4800
Nivel de acceso:acceso abierto
Materia:Ionospheric scintillation
GNSS receivers
Ionosphere
Centelleo ionosférico
Receptores GNSS
Ionósfera
http://purl.org/pe-repo/ocde/ford#1.05.01
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dc.title.es_ES.fl_str_mv Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques
title Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques
spellingShingle Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques
Fajardo, G.
Ionospheric scintillation
GNSS receivers
Ionosphere
Centelleo ionosférico
Receptores GNSS
Ionósfera
http://purl.org/pe-repo/ocde/ford#1.05.01
title_short Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques
title_full Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques
title_fullStr Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques
title_full_unstemmed Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques
title_sort Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniques
author Fajardo, G.
author_facet Fajardo, G.
Pacheco, Edgardo E.
author_role author
author2 Pacheco, Edgardo E.
author2_role author
dc.contributor.author.fl_str_mv Fajardo, G.
Pacheco, Edgardo E.
dc.subject.es_ES.fl_str_mv Ionospheric scintillation
GNSS receivers
Ionosphere
Centelleo ionosférico
Receptores GNSS
Ionósfera
topic Ionospheric scintillation
GNSS receivers
Ionosphere
Centelleo ionosférico
Receptores GNSS
Ionósfera
http://purl.org/pe-repo/ocde/ford#1.05.01
dc.subject.ocde.es_ES.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.01
description Poster presented at the 2020 CEDAR Virtual Meeting, June 22-26.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-07-10T19:10:12Z
dc.date.available.none.fl_str_mv 2020-07-10T19:10:12Z
dc.date.issued.fl_str_mv 2020-06
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/4800
url http://hdl.handle.net/20.500.12816/4800
dc.language.iso.es_ES.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licences/by/4.0/
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dc.publisher.es_ES.fl_str_mv Instituto Geofísico del Perú
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instname_str Instituto Geofísico del Perú
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spelling Fajardo, G.Pacheco, Edgardo E.2020-07-10T19:10:12Z2020-07-10T19:10:12Z2020-06http://hdl.handle.net/20.500.12816/4800Poster presented at the 2020 CEDAR Virtual Meeting, June 22-26.Ionospheric scintillations are a common phenomenon in the equatorial ionosphere. This phenomenon directly affects the position estimated by GNSS receivers degrading the quality of the radio signals; however, the quantification of the positioning error contributed by the ionosphere over the Peruvian sector has not been studied in detail. In this work, algorithms are being implemented that will allow us to identify and classify amplitude scintillation (S4) levels, we have worked with data from the Huancayo Observatory for the period December 2016-February 2017 obtained from LISN, this data has been plotted to analyze the spatial and temporal occurrence, and to analyze the occurrence of S4 as a function of other space weather variables obtained from OMNI2. The machine learning algorithms were decision tree, Support Vector Machine (SVM), Neuronal Network (NN). Decision tree was implemented as a filtering method, support vector machine for clustering and neuronal network to generate time series in forecasting. This paper shows the initial part of an investigation that aims to correlate qualitatively and quantitatively the occurrence of amplitude scintillations (S4) with errors in the position estimation of GNSS receivers, once the correlation between S4 and position error has been quantified, it may be possible to predict the error by predicting S4.application/pdfengInstituto Geofísico del Perúinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licences/by/4.0/Ionospheric scintillationGNSS receiversIonosphereCentelleo ionosféricoReceptores GNSSIonósferahttp://purl.org/pe-repo/ocde/ford#1.05.01Exploring the correlation between ionospheric scintillation and GNSS positioning error near the magnetic equator using machine learning techniquesinfo:eu-repo/semantics/conferenceObjectreponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALPoster_Fajardo_etal_2020.pdfPoster_Fajardo_etal_2020.pdfapplication/pdf1761646https://repositorio.igp.gob.pe/bitstreams/fd6a9944-8ad0-470f-b3c2-74be9b5bb826/downloada39cc29b25090b4541ed6fc46ac5617dMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/c0dd2756-cd62-436d-beb9-e51878b06468/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTPoster_Fajardo_etal_2020.pdf.txtPoster_Fajardo_etal_2020.pdf.txtExtracted texttext/plain8297https://repositorio.igp.gob.pe/bitstreams/86f630d7-aec9-4aca-8b2d-c36089e31d58/download10f26b8d33feec7a9200ae060a8aa130MD53THUMBNAILPoster_Fajardo_etal_2020.pdf.jpgPoster_Fajardo_etal_2020.pdf.jpgIM Thumbnailimage/jpeg137792https://repositorio.igp.gob.pe/bitstreams/895e958d-67a9-4ba6-97e9-6da46ab09d80/download7e2385563187589c194cf369e551a417MD5420.500.12816/4800oai:repositorio.igp.gob.pe:20.500.12816/48002020-12-21 11:08:55.879https://creativecommons.org/licences/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico del Perudspace-help@myu.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