GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach

Autores
Cogo, Jorge; García, Javier Gonzalo; Roncagliolo, Pedro Agustín; Muravchik, Carlos Horacio
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work we analyze the integration of multiple Global Navigation Satellite Systems to get the user position solution. We describe and analyze the different ways that the problem can arise and propose an approach to generalize them onto the same formulation. To solve the resulting problem, we propose two different numerical optimization techniques, the steepest descent method and the Quasi-Newton method. We validate and asses the performance of the proposed technique by means of simulation. Extensive simulations are also employed to analyze the solution availability and performance that the multi-constellation integration can offer. The enhancement obtained justifies the use of the proposed solution method.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
GNSS
Multi-Constellation
Positioning
DOP
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/123931
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/123931
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling GNSS Multi-constellation Positioning Problem : A Numerical Optimization ApproachCogo, JorgeGarcía, Javier GonzaloRoncagliolo, Pedro AgustínMuravchik, Carlos HoracioCiencias InformáticasGNSSMulti-ConstellationPositioningDOPIn this work we analyze the integration of multiple Global Navigation Satellite Systems to get the user position solution. We describe and analyze the different ways that the problem can arise and propose an approach to generalize them onto the same formulation. To solve the resulting problem, we propose two different numerical optimization techniques, the steepest descent method and the Quasi-Newton method. We validate and asses the performance of the proposed technique by means of simulation. Extensive simulations are also employed to analyze the solution availability and performance that the multi-constellation integration can offer. The enhancement obtained justifies the use of the proposed solution method.Sociedad Argentina de Informática e Investigación Operativa2012-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf228-239http://sedici.unlp.edu.ar/handle/10915/123931enginfo:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/20_AST_2012.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:01:44Zoai:sedici.unlp.edu.ar:10915/123931Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:01:45.098SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach
title GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach
spellingShingle GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach
Cogo, Jorge
Ciencias Informáticas
GNSS
Multi-Constellation
Positioning
DOP
title_short GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach
title_full GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach
title_fullStr GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach
title_full_unstemmed GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach
title_sort GNSS Multi-constellation Positioning Problem : A Numerical Optimization Approach
dc.creator.none.fl_str_mv Cogo, Jorge
García, Javier Gonzalo
Roncagliolo, Pedro Agustín
Muravchik, Carlos Horacio
author Cogo, Jorge
author_facet Cogo, Jorge
García, Javier Gonzalo
Roncagliolo, Pedro Agustín
Muravchik, Carlos Horacio
author_role author
author2 García, Javier Gonzalo
Roncagliolo, Pedro Agustín
Muravchik, Carlos Horacio
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
GNSS
Multi-Constellation
Positioning
DOP
topic Ciencias Informáticas
GNSS
Multi-Constellation
Positioning
DOP
dc.description.none.fl_txt_mv In this work we analyze the integration of multiple Global Navigation Satellite Systems to get the user position solution. We describe and analyze the different ways that the problem can arise and propose an approach to generalize them onto the same formulation. To solve the resulting problem, we propose two different numerical optimization techniques, the steepest descent method and the Quasi-Newton method. We validate and asses the performance of the proposed technique by means of simulation. Extensive simulations are also employed to analyze the solution availability and performance that the multi-constellation integration can offer. The enhancement obtained justifies the use of the proposed solution method.
Sociedad Argentina de Informática e Investigación Operativa
description In this work we analyze the integration of multiple Global Navigation Satellite Systems to get the user position solution. We describe and analyze the different ways that the problem can arise and propose an approach to generalize them onto the same formulation. To solve the resulting problem, we propose two different numerical optimization techniques, the steepest descent method and the Quasi-Newton method. We validate and asses the performance of the proposed technique by means of simulation. Extensive simulations are also employed to analyze the solution availability and performance that the multi-constellation integration can offer. The enhancement obtained justifies the use of the proposed solution method.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/123931
url http://sedici.unlp.edu.ar/handle/10915/123931
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/20_AST_2012.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
228-239
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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