An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints

Detalhes bibliográficos
Autor(a) principal: de Oliveira, Paulo Sergio
Data de Publicação: 2023
Outros Autores: Morel, Laurent, Galera Monico, João Francisco, Durand, Stéphane, Durand, Frédéric, Bezerra, Lucas dos Santos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/00396265.2023.2169063
http://hdl.handle.net/11449/249034
Resumo: PPP-RTK (Precise Point Positioning–Real Time Kinematic) is a positioning method by GNSS (Global Navigation Satellite Systems), based on the SSR (State Space Representation) concept. One challenge for the fast convergence of PPP-RTK solutions in real-time applications is the mitigation of atmospheric effects (troposphere and ionosphere). Thus, using atmospheric models, PPP solutions can achieve accurate positions and shortened initialisation time. Such performance depends on the topology of permanent station networks and atmospheric conditions. The main objective of this contribution is to study the PPP-RTK and the optimised infrastructure in terms of costs and benefits to realise the method using atmospheric corrections.
id UNSP_ffda1e6409e46b2f2f258979e5798889
oai_identifier_str oai:repositorio.unesp.br:11449/249034
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraintsAmbiguitiesIonospherePPP-RTKReference networkTropospherePPP-RTK (Precise Point Positioning–Real Time Kinematic) is a positioning method by GNSS (Global Navigation Satellite Systems), based on the SSR (State Space Representation) concept. One challenge for the fast convergence of PPP-RTK solutions in real-time applications is the mitigation of atmospheric effects (troposphere and ionosphere). Thus, using atmospheric models, PPP solutions can achieve accurate positions and shortened initialisation time. Such performance depends on the topology of permanent station networks and atmospheric conditions. The main objective of this contribution is to study the PPP-RTK and the optimised infrastructure in terms of costs and benefits to realise the method using atmospheric corrections.Department of Geomatics UFPRGeomatics and Land Law laboratory Cnam/GeFDepartment of Cartography, Presidente PrudenteUniversidade Federal do Paraná (UFPR)Cnam/GeFUniversidade Estadual Paulista (UNESP)de Oliveira, Paulo SergioMorel, LaurentGalera Monico, João FranciscoDurand, StéphaneDurand, FrédéricBezerra, Lucas dos Santos2023-07-29T14:00:39Z2023-07-29T14:00:39Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1080/00396265.2023.2169063Survey Review.1752-27060039-6265http://hdl.handle.net/11449/24903410.1080/00396265.2023.21690632-s2.0-85147593122Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSurvey Reviewinfo:eu-repo/semantics/openAccess2024-06-18T15:01:39Zoai:repositorio.unesp.br:11449/249034Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:41:40.857322Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints
title An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints
spellingShingle An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints
de Oliveira, Paulo Sergio
Ambiguities
Ionosphere
PPP-RTK
Reference network
Troposphere
title_short An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints
title_full An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints
title_fullStr An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints
title_full_unstemmed An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints
title_sort An alternative to derive ionospheric and tropospheric SSR corrections for PPP-RTK using adaptive constraints
author de Oliveira, Paulo Sergio
author_facet de Oliveira, Paulo Sergio
Morel, Laurent
Galera Monico, João Francisco
Durand, Stéphane
Durand, Frédéric
Bezerra, Lucas dos Santos
author_role author
author2 Morel, Laurent
Galera Monico, João Francisco
Durand, Stéphane
Durand, Frédéric
Bezerra, Lucas dos Santos
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal do Paraná (UFPR)
Cnam/GeF
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv de Oliveira, Paulo Sergio
Morel, Laurent
Galera Monico, João Francisco
Durand, Stéphane
Durand, Frédéric
Bezerra, Lucas dos Santos
dc.subject.por.fl_str_mv Ambiguities
Ionosphere
PPP-RTK
Reference network
Troposphere
topic Ambiguities
Ionosphere
PPP-RTK
Reference network
Troposphere
description PPP-RTK (Precise Point Positioning–Real Time Kinematic) is a positioning method by GNSS (Global Navigation Satellite Systems), based on the SSR (State Space Representation) concept. One challenge for the fast convergence of PPP-RTK solutions in real-time applications is the mitigation of atmospheric effects (troposphere and ionosphere). Thus, using atmospheric models, PPP solutions can achieve accurate positions and shortened initialisation time. Such performance depends on the topology of permanent station networks and atmospheric conditions. The main objective of this contribution is to study the PPP-RTK and the optimised infrastructure in terms of costs and benefits to realise the method using atmospheric corrections.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T14:00:39Z
2023-07-29T14:00:39Z
2023-01-01
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/10.1080/00396265.2023.2169063
Survey Review.
1752-2706
0039-6265
http://hdl.handle.net/11449/249034
10.1080/00396265.2023.2169063
2-s2.0-85147593122
url http://dx.doi.org/10.1080/00396265.2023.2169063
http://hdl.handle.net/11449/249034
identifier_str_mv Survey Review.
1752-2706
0039-6265
10.1080/00396265.2023.2169063
2-s2.0-85147593122
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Survey Review
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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_ 1808129107012091904

Registros relacionados