Ionospheric tomography using GNSS: multiplicative algebraic reconstruction technique applied to the area of Brazil
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
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. |
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Repositório Institucional da UNESP |
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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 |