Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Aerospace Technology and Management (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462013000400395 |
Resumo: | ABSTRACT: The nonlinear unscented Kalman filter (UKF) is evaluated for the satellite orbit determination problem, using Global Positioning System (GPS) measurements. The assessment is based on the robustness of the filter. The main subjects for the evaluation are convergence speed and dynamical model complexity. Such assessment is based on comparing the UKF results with the extended Kalman filter (EKF) results for the solution of the same problem. Based on the analysis of such criteria, the advantages and drawbacks of the implementations are presented. In this orbit determination problem, the focus is to analyze UKF convergence behavior using different sampling rates for the GPS signals, where scattering of measurements will be taken into account. A second aim is to evaluate how the dynamical model complexity affects the performance of the estimators in such adverse situation. After solving the real-time satellite orbit determination problem using actual GPS measurements, through EKF and UKF algorithms, the results obtained are compared in computational terms such as complexity, convergence, and accuracy. |
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Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System SignalsOrbit determinationNonlinear Kalman filtersGPS measurementsReal timeABSTRACT: The nonlinear unscented Kalman filter (UKF) is evaluated for the satellite orbit determination problem, using Global Positioning System (GPS) measurements. The assessment is based on the robustness of the filter. The main subjects for the evaluation are convergence speed and dynamical model complexity. Such assessment is based on comparing the UKF results with the extended Kalman filter (EKF) results for the solution of the same problem. Based on the analysis of such criteria, the advantages and drawbacks of the implementations are presented. In this orbit determination problem, the focus is to analyze UKF convergence behavior using different sampling rates for the GPS signals, where scattering of measurements will be taken into account. A second aim is to evaluate how the dynamical model complexity affects the performance of the estimators in such adverse situation. After solving the real-time satellite orbit determination problem using actual GPS measurements, through EKF and UKF algorithms, the results obtained are compared in computational terms such as complexity, convergence, and accuracy.Departamento de Ciência e Tecnologia Aeroespacial2013-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462013000400395Journal of Aerospace Technology and Management v.5 n.4 2013reponame:Journal of Aerospace Technology and Management (Online)instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA)instacron:DCTA10.5028/jatm.v5i4.252info:eu-repo/semantics/openAccessPardal,Paula Cristiane Pinto MesquitaKuga,Hélio KoitiMoraes,Rodolpho Vilhena deeng2017-05-29T00:00:00Zoai:scielo:S2175-91462013000400395Revistahttp://www.jatm.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||secretary@jatm.com.br2175-91461984-9648opendoar:2017-05-29T00:00Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA)false |
dc.title.none.fl_str_mv |
Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals |
title |
Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals |
spellingShingle |
Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals Pardal,Paula Cristiane Pinto Mesquita Orbit determination Nonlinear Kalman filters GPS measurements Real time |
title_short |
Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals |
title_full |
Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals |
title_fullStr |
Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals |
title_full_unstemmed |
Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals |
title_sort |
Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals |
author |
Pardal,Paula Cristiane Pinto Mesquita |
author_facet |
Pardal,Paula Cristiane Pinto Mesquita Kuga,Hélio Koiti Moraes,Rodolpho Vilhena de |
author_role |
author |
author2 |
Kuga,Hélio Koiti Moraes,Rodolpho Vilhena de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Pardal,Paula Cristiane Pinto Mesquita Kuga,Hélio Koiti Moraes,Rodolpho Vilhena de |
dc.subject.por.fl_str_mv |
Orbit determination Nonlinear Kalman filters GPS measurements Real time |
topic |
Orbit determination Nonlinear Kalman filters GPS measurements Real time |
description |
ABSTRACT: The nonlinear unscented Kalman filter (UKF) is evaluated for the satellite orbit determination problem, using Global Positioning System (GPS) measurements. The assessment is based on the robustness of the filter. The main subjects for the evaluation are convergence speed and dynamical model complexity. Such assessment is based on comparing the UKF results with the extended Kalman filter (EKF) results for the solution of the same problem. Based on the analysis of such criteria, the advantages and drawbacks of the implementations are presented. In this orbit determination problem, the focus is to analyze UKF convergence behavior using different sampling rates for the GPS signals, where scattering of measurements will be taken into account. A second aim is to evaluate how the dynamical model complexity affects the performance of the estimators in such adverse situation. After solving the real-time satellite orbit determination problem using actual GPS measurements, through EKF and UKF algorithms, the results obtained are compared in computational terms such as complexity, convergence, and accuracy. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462013000400395 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2175-91462013000400395 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5028/jatm.v5i4.252 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Departamento de Ciência e Tecnologia Aeroespacial |
publisher.none.fl_str_mv |
Departamento de Ciência e Tecnologia Aeroespacial |
dc.source.none.fl_str_mv |
Journal of Aerospace Technology and Management v.5 n.4 2013 reponame:Journal of Aerospace Technology and Management (Online) instname:Departamento de Ciência e Tecnologia Aeroespacial (DCTA) instacron:DCTA |
instname_str |
Departamento de Ciência e Tecnologia Aeroespacial (DCTA) |
instacron_str |
DCTA |
institution |
DCTA |
reponame_str |
Journal of Aerospace Technology and Management (Online) |
collection |
Journal of Aerospace Technology and Management (Online) |
repository.name.fl_str_mv |
Journal of Aerospace Technology and Management (Online) - Departamento de Ciência e Tecnologia Aeroespacial (DCTA) |
repository.mail.fl_str_mv |
||secretary@jatm.com.br |
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1754732530838274048 |