Performance analysis of global and regional ionosphere maps for generation of virtual reference station
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.11137/2020_4_413_425 http://hdl.handle.net/11449/228887 |
Resumo: | An important tendency in recent years has been the use of the Real Time Kinematic (RTK) method, due to centimeter accuracy and productivity. However, the RTK is restricted to applications with a baseline below 20 km. To overcome this problem, concept of network of reference stations, called network-based positioning, has been used. However, both in use of networks and in other methods, an important factor to improve quality of positioning is related to ionospheric modeling, since this error, varies in time and space, and suffers several influences, such as: solar cycle, time of year, local time, geographic location, geomagnetic activity, among others. Currently, the errors caused by the ionosphere can have their effects minimized from IONEX files. Thus, in this research, the performance of the Global and Regional Ionosphere Maps made available, by International Service GNSS (IGS) and Monitoring the Ionosphere Over South America (MImOSA) project respectively, in positioning in networks, was analyzed, using the concept of Virtual Reference Station (VRS). According to the results obtained, observe there is accuracy in the use of the Regional Map of the MImOSA project, which has greater spatial and temporal resolution, and which presents the best results. |
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Performance analysis of global and regional ionosphere maps for generation of virtual reference stationAnálise da performance dos mapas globais e regionais da ionosfera para geração de estação de referência virtualGlobal Ionosphere MapsIONEXMImOSAAn important tendency in recent years has been the use of the Real Time Kinematic (RTK) method, due to centimeter accuracy and productivity. However, the RTK is restricted to applications with a baseline below 20 km. To overcome this problem, concept of network of reference stations, called network-based positioning, has been used. However, both in use of networks and in other methods, an important factor to improve quality of positioning is related to ionospheric modeling, since this error, varies in time and space, and suffers several influences, such as: solar cycle, time of year, local time, geographic location, geomagnetic activity, among others. Currently, the errors caused by the ionosphere can have their effects minimized from IONEX files. Thus, in this research, the performance of the Global and Regional Ionosphere Maps made available, by International Service GNSS (IGS) and Monitoring the Ionosphere Over South America (MImOSA) project respectively, in positioning in networks, was analyzed, using the concept of Virtual Reference Station (VRS). According to the results obtained, observe there is accuracy in the use of the Regional Map of the MImOSA project, which has greater spatial and temporal resolution, and which presents the best results.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Federal Rural da Amazônia Instituto Ciberespacial, Avenida Presidente Tancredo Neves, 2501Universidade Estadual Paulista Faculdade de Ciência e Tecnologia Departamento de Cartografia, Rua Roberto Simonsen, 305Universidade Tecnológica Federal do Paraná Coordenação de Engenharia Civil, Rua Marcílio Dias, 635Universidade Estadual Paulista Faculdade de Ciência e Tecnologia Departamento de Cartografia, Rua Roberto Simonsen, 305CNPq: 483954/2011–0Instituto CiberespacialUniversidade Estadual Paulista (UNESP)Coordenação de Engenharia CivilCaldeira, Mayara Cobacho OrtegaCaldeira, Carlos Rodrigo TanajuraAlves, Daniele Barroca Marra [UNESP]de Aguiar, Claudinei Rodrigues2022-04-29T08:29:07Z2022-04-29T08:29:07Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article413-425http://dx.doi.org/10.11137/2020_4_413_425Anuario do Instituto de Geociencias, v. 43, n. 4, p. 413-425, 2020.1982-39080101-9759http://hdl.handle.net/11449/22888710.11137/2020_4_413_4252-s2.0-85099237486Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporAnuario do Instituto de Geocienciasinfo:eu-repo/semantics/openAccess2024-06-18T15:01:02Zoai:repositorio.unesp.br:11449/228887Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:35:03.290287Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Performance analysis of global and regional ionosphere maps for generation of virtual reference station Análise da performance dos mapas globais e regionais da ionosfera para geração de estação de referência virtual |
title |
Performance analysis of global and regional ionosphere maps for generation of virtual reference station |
spellingShingle |
Performance analysis of global and regional ionosphere maps for generation of virtual reference station Caldeira, Mayara Cobacho Ortega Global Ionosphere Maps IONEX MImOSA |
title_short |
Performance analysis of global and regional ionosphere maps for generation of virtual reference station |
title_full |
Performance analysis of global and regional ionosphere maps for generation of virtual reference station |
title_fullStr |
Performance analysis of global and regional ionosphere maps for generation of virtual reference station |
title_full_unstemmed |
Performance analysis of global and regional ionosphere maps for generation of virtual reference station |
title_sort |
Performance analysis of global and regional ionosphere maps for generation of virtual reference station |
author |
Caldeira, Mayara Cobacho Ortega |
author_facet |
Caldeira, Mayara Cobacho Ortega Caldeira, Carlos Rodrigo Tanajura Alves, Daniele Barroca Marra [UNESP] de Aguiar, Claudinei Rodrigues |
author_role |
author |
author2 |
Caldeira, Carlos Rodrigo Tanajura Alves, Daniele Barroca Marra [UNESP] de Aguiar, Claudinei Rodrigues |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Instituto Ciberespacial Universidade Estadual Paulista (UNESP) Coordenação de Engenharia Civil |
dc.contributor.author.fl_str_mv |
Caldeira, Mayara Cobacho Ortega Caldeira, Carlos Rodrigo Tanajura Alves, Daniele Barroca Marra [UNESP] de Aguiar, Claudinei Rodrigues |
dc.subject.por.fl_str_mv |
Global Ionosphere Maps IONEX MImOSA |
topic |
Global Ionosphere Maps IONEX MImOSA |
description |
An important tendency in recent years has been the use of the Real Time Kinematic (RTK) method, due to centimeter accuracy and productivity. However, the RTK is restricted to applications with a baseline below 20 km. To overcome this problem, concept of network of reference stations, called network-based positioning, has been used. However, both in use of networks and in other methods, an important factor to improve quality of positioning is related to ionospheric modeling, since this error, varies in time and space, and suffers several influences, such as: solar cycle, time of year, local time, geographic location, geomagnetic activity, among others. Currently, the errors caused by the ionosphere can have their effects minimized from IONEX files. Thus, in this research, the performance of the Global and Regional Ionosphere Maps made available, by International Service GNSS (IGS) and Monitoring the Ionosphere Over South America (MImOSA) project respectively, in positioning in networks, was analyzed, using the concept of Virtual Reference Station (VRS). According to the results obtained, observe there is accuracy in the use of the Regional Map of the MImOSA project, which has greater spatial and temporal resolution, and which presents the best results. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2022-04-29T08:29:07Z 2022-04-29T08:29:07Z |
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/10.11137/2020_4_413_425 Anuario do Instituto de Geociencias, v. 43, n. 4, p. 413-425, 2020. 1982-3908 0101-9759 http://hdl.handle.net/11449/228887 10.11137/2020_4_413_425 2-s2.0-85099237486 |
url |
http://dx.doi.org/10.11137/2020_4_413_425 http://hdl.handle.net/11449/228887 |
identifier_str_mv |
Anuario do Instituto de Geociencias, v. 43, n. 4, p. 413-425, 2020. 1982-3908 0101-9759 10.11137/2020_4_413_425 2-s2.0-85099237486 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Anuario do Instituto de Geociencias |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
413-425 |
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 |
|
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1808128250265731072 |