An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation

Autores
Cogo, Jorge; García, Javier Gonzalo; Roncagliolo, Pedro Agustín; Muravchik, Carlos Horacio
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work the performance of different statistical filtering models used for estimating states of aerospace vehicles, particularly LEO satellites, based on measurements of GNSS systems are compared. This problem is non-linear in nature, since both the state variables model and the output function are non-linear. Thus we resort to the use of the extension of the Kalman filter called EKF. Different models based on several kinematic and dynamic approaches are considered. For the performance assessment we use representative simulation scenarios. Finally, as a real application example, the case of GPS measurements taken on board the Argentine SAC-D satellite is analyzed.
Facultad de Ingeniería
Comisión de Investigaciones Científicas de la provincia de Buenos Aires
Materia
Ingeniería Electrónica
GNSS
Navegación satelital
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:10915/112779
Acceder
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network_name_str SEDICI (UNLP)
spelling An Statistical Filtering Models Comparison for GNSS LEO Satellite NavigationCogo, JorgeGarcía, Javier GonzaloRoncagliolo, Pedro AgustínMuravchik, Carlos HoracioIngeniería ElectrónicaGNSSNavegación satelitalIn this work the performance of different statistical filtering models used for estimating states of aerospace vehicles, particularly LEO satellites, based on measurements of GNSS systems are compared. This problem is non-linear in nature, since both the state variables model and the output function are non-linear. Thus we resort to the use of the extension of the Kalman filter called EKF. Different models based on several kinematic and dynamic approaches are considered. For the performance assessment we use representative simulation scenarios. Finally, as a real application example, the case of GPS measurements taken on board the Argentine SAC-D satellite is analyzed.Facultad de IngenieríaComisión de Investigaciones Científicas de la provincia de Buenos Aires2016info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/112779enginfo:eu-repo/semantics/altIdentifier/isbn/978-1-5090-3777-3info:eu-repo/semantics/altIdentifier/doi/10.1109/CAMTA.2016.7574089info: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:UNLP2025-09-29T11:25:55Zoai:sedici.unlp.edu.ar:10915/112779Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:25:55.368SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation
title An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation
spellingShingle An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation
Cogo, Jorge
Ingeniería Electrónica
GNSS
Navegación satelital
title_short An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation
title_full An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation
title_fullStr An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation
title_full_unstemmed An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation
title_sort An Statistical Filtering Models Comparison for GNSS LEO Satellite Navigation
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 Ingeniería Electrónica
GNSS
Navegación satelital
topic Ingeniería Electrónica
GNSS
Navegación satelital
dc.description.none.fl_txt_mv In this work the performance of different statistical filtering models used for estimating states of aerospace vehicles, particularly LEO satellites, based on measurements of GNSS systems are compared. This problem is non-linear in nature, since both the state variables model and the output function are non-linear. Thus we resort to the use of the extension of the Kalman filter called EKF. Different models based on several kinematic and dynamic approaches are considered. For the performance assessment we use representative simulation scenarios. Finally, as a real application example, the case of GPS measurements taken on board the Argentine SAC-D satellite is analyzed.
Facultad de Ingeniería
Comisión de Investigaciones Científicas de la provincia de Buenos Aires
description In this work the performance of different statistical filtering models used for estimating states of aerospace vehicles, particularly LEO satellites, based on measurements of GNSS systems are compared. This problem is non-linear in nature, since both the state variables model and the output function are non-linear. Thus we resort to the use of the extension of the Kalman filter called EKF. Different models based on several kinematic and dynamic approaches are considered. For the performance assessment we use representative simulation scenarios. Finally, as a real application example, the case of GPS measurements taken on board the Argentine SAC-D satellite is analyzed.
publishDate 2016
dc.date.none.fl_str_mv 2016
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/10915/112779
url http://sedici.unlp.edu.ar/handle/10915/112779
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-1-5090-3777-3
info:eu-repo/semantics/altIdentifier/doi/10.1109/CAMTA.2016.7574089
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
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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