Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil

Detalhes bibliográficos
Autor(a) principal: Prol, Fabricio dos Santos [UNESP]
Data de Publicação: 2016
Outros Autores: Camargo, Paulo de Oliveira [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s10291-015-0490-0
http://hdl.handle.net/11449/177545
Resumo: Experimental analysis was performed using multiplicative algebraic reconstruction technique (MART) to map the ionosphere over Brazil. Code and phase observations from the global navigation satellite system (GNSS) together with the international reference ionosphere (IRI) enabled the estimation of ionospheric profiles and total electron content (TEC) over the entire region. Twenty-four days of data collected from existing ground-based GNSS receivers during the recent solar maximum period were used to analyze the performance of the MART algorithm. The results were compared with four ionosondes. It was demonstrated that MART estimated the electron density peak with the same degree of accuracy as the IRI model in regions with appropriate geometrical coverage by GNSS receivers for tomographic reconstruction. In addition, the slant TEC, as estimated with MART, presented lower root-mean-square error than the TEC calculated by ionospheric maps available from the International GNSS Service (IGS). Furthermore, the daily variations of the ionosphere were better represented with the algebraic techniques, compared to the IRI model and IGS maps, enabling a correlation of the elevation of the ionosphere at higher altitudes with the equatorial ionization anomaly intensification. The tomographic representations also enabled the detection of high vertical gradients at the same instants in which ionospheric irregularities were evident.
id UNSP_0cfe3efdaf476fd626d7c84fd84987e5
oai_identifier_str oai:repositorio.unesp.br:11449/177545
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of BrazilGrid-based tomographyIonospheric imagingIonospheric profilesMARTSlant TECTotal electron contentExperimental analysis was performed using multiplicative algebraic reconstruction technique (MART) to map the ionosphere over Brazil. Code and phase observations from the global navigation satellite system (GNSS) together with the international reference ionosphere (IRI) enabled the estimation of ionospheric profiles and total electron content (TEC) over the entire region. Twenty-four days of data collected from existing ground-based GNSS receivers during the recent solar maximum period were used to analyze the performance of the MART algorithm. The results were compared with four ionosondes. It was demonstrated that MART estimated the electron density peak with the same degree of accuracy as the IRI model in regions with appropriate geometrical coverage by GNSS receivers for tomographic reconstruction. In addition, the slant TEC, as estimated with MART, presented lower root-mean-square error than the TEC calculated by ionospheric maps available from the International GNSS Service (IGS). Furthermore, the daily variations of the ionosphere were better represented with the algebraic techniques, compared to the IRI model and IGS maps, enabling a correlation of the elevation of the ionosphere at higher altitudes with the equatorial ionization anomaly intensification. The tomographic representations also enabled the detection of high vertical gradients at the same instants in which ionospheric irregularities were evident.São Paulo State University – UNESP, Roberto Simonsen, 305São Paulo State University – UNESP, Roberto Simonsen, 305Universidade Estadual Paulista (Unesp)Prol, Fabricio dos Santos [UNESP]Camargo, Paulo de Oliveira [UNESP]2018-12-11T17:25:56Z2018-12-11T17:25:56Z2016-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article807-814application/pdfhttp://dx.doi.org/10.1007/s10291-015-0490-0GPS Solutions, v. 20, n. 4, p. 807-814, 2016.1521-18861080-5370http://hdl.handle.net/11449/17754510.1007/s10291-015-0490-02-s2.0-849445543232-s2.0-84944554323.pdf67907082475988130000-0001-7648-1291Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGPS Solutions1,674info:eu-repo/semantics/openAccess2024-06-18T15:01:38Zoai:repositorio.unesp.br:11449/177545Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:27:40.160640Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
title Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
spellingShingle Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
Prol, Fabricio dos Santos [UNESP]
Grid-based tomography
Ionospheric imaging
Ionospheric profiles
MART
Slant TEC
Total electron content
title_short Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
title_full Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
title_fullStr Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
title_full_unstemmed Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
title_sort Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
author Prol, Fabricio dos Santos [UNESP]
author_facet Prol, Fabricio dos Santos [UNESP]
Camargo, Paulo de Oliveira [UNESP]
author_role author
author2 Camargo, Paulo de Oliveira [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Prol, Fabricio dos Santos [UNESP]
Camargo, Paulo de Oliveira [UNESP]
dc.subject.por.fl_str_mv Grid-based tomography
Ionospheric imaging
Ionospheric profiles
MART
Slant TEC
Total electron content
topic Grid-based tomography
Ionospheric imaging
Ionospheric profiles
MART
Slant TEC
Total electron content
description Experimental analysis was performed using multiplicative algebraic reconstruction technique (MART) to map the ionosphere over Brazil. Code and phase observations from the global navigation satellite system (GNSS) together with the international reference ionosphere (IRI) enabled the estimation of ionospheric profiles and total electron content (TEC) over the entire region. Twenty-four days of data collected from existing ground-based GNSS receivers during the recent solar maximum period were used to analyze the performance of the MART algorithm. The results were compared with four ionosondes. It was demonstrated that MART estimated the electron density peak with the same degree of accuracy as the IRI model in regions with appropriate geometrical coverage by GNSS receivers for tomographic reconstruction. In addition, the slant TEC, as estimated with MART, presented lower root-mean-square error than the TEC calculated by ionospheric maps available from the International GNSS Service (IGS). Furthermore, the daily variations of the ionosphere were better represented with the algebraic techniques, compared to the IRI model and IGS maps, enabling a correlation of the elevation of the ionosphere at higher altitudes with the equatorial ionization anomaly intensification. The tomographic representations also enabled the detection of high vertical gradients at the same instants in which ionospheric irregularities were evident.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-01
2018-12-11T17:25:56Z
2018-12-11T17:25:56Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s10291-015-0490-0
GPS Solutions, v. 20, n. 4, p. 807-814, 2016.
1521-1886
1080-5370
http://hdl.handle.net/11449/177545
10.1007/s10291-015-0490-0
2-s2.0-84944554323
2-s2.0-84944554323.pdf
6790708247598813
0000-0001-7648-1291
url http://dx.doi.org/10.1007/s10291-015-0490-0
http://hdl.handle.net/11449/177545
identifier_str_mv GPS Solutions, v. 20, n. 4, p. 807-814, 2016.
1521-1886
1080-5370
10.1007/s10291-015-0490-0
2-s2.0-84944554323
2-s2.0-84944554323.pdf
6790708247598813
0000-0001-7648-1291
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv GPS Solutions
1,674
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 807-814
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128934777192448