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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3FCL35P
Repositorysid.inpe.br/plutao/2013/12.12.15.10.15
Last Update2015:03.11.16.42.36 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2013/12.12.15.10.16
Metadata Last Update2021:02.11.18.11.21 (UTC) administrator
DOI10.5028/jatm.v5i4.252
ISSN1984-9648
Labellattes: 1786255724025154 2 PardalKugaMora:2013:AnUnKa
Citation KeyPardalKugaMora:2013:AnUnKa
TitleAnalyzing the Unscented Kalman Filter Robustness for Orbit Determination through Global Positioning System Signals
Year2013
Access Date2024, May 25
Type of Workjournal article
Secondary TypePRE PN
Number of Files1
Size1785 KiB
2. Context
Author1 Pardal, Paula Cristiane Pinto Mesquita
2 Kuga, Helio Koiti
3 Moraes, Rodolpho Vilhena de
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC9
Group1
2 DMC-ETE-INPE-MCTI-GOV-BR
Affiliation1 Instituto de Ciência e Tecnologia (ICT)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto de Ciência e Tecnologia (ICT)
Author e-Mail Address1 paulacristiane@gmail.com
2 helio.kuga@inpe.br
e-Mail Addresshelio.kuga@inpe.br
JournalJournal of Aerospace Technology and Management
Volume5
Number4
Pages395-408
Secondary MarkB4 B4 B4 B4 B5 B5 B5 B5 C
History (UTC)2013-12-12 15:10:16 :: lattes -> administrator ::
2021-02-11 18:11:21 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsORBIT DETERMINATION
non linear filtering
GPS measurements
sigma point filter
extended Kalman filter
AbstractThe 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.
AreaETES
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Analyzing the Unscented...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://plutao.sid.inpe.br/ibi/8JMKD3MGP3W/3FCL35P
zipped data URLhttp://plutao.sid.inpe.br/zip/8JMKD3MGP3W/3FCL35P
Languagept
User Grouplattes
marcelo.pazos@inpe.br
Reader Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/446AF4B
Citing Item Listsid.inpe.br/bibdigital/2021/02.11.18.06 3
DisseminationPORTALCAPES; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Informações Adicionais: JATM, V5, n4, pp. 395-408, Oct.-Dec., 2013.
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7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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