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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier3ERPFQRTRW34M/3E7GLET
Repositorydpi.inpe.br/marte2/2013/05.29.00.53.31
Last Update2013:05.29.00.53.31 (UTC) administrator
Metadata Repositorydpi.inpe.br/marte2/2013/05.29.00.53.32
Metadata Last Update2021:02.11.18.16.49 (UTC) administrator
ISBN978-85-17-00066-9 (Internet)
978-85-17-00065-2 (DVD)
Label1456
Citation KeyGarciaKugaZana:2013:EfFiKa
TitleEficiência do Filtro de Kalman Unscented na estimação de atitude utilizando dados reais do satélite CBERS
FormatDVD, Internet.
Year2013
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size393 KiB
2. Context
Author1 Garcia, Roberta Veloso
2 Kuga, Helio Koiti
3 Zanardi, Maria Cecília França de Paula Santos
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC9
Group1
2 DMC-ETE-INPE-MCTI-GOV-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 rvelosogarcia@yahoo.com.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)
Conference LocationFoz do Iguaçu
Date13-18 abr. 2013
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages2241-2249
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2013-05-29 00:53:32 :: banon -> administrator ::
2021-02-11 18:16:49 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThe aim of this work is to compare the performance of the unscented Kalman filter (UKF) with the extended Kalman filter (EKF) in the attitude estimation nonlinear problems when the filters are subject to inaccurate initial conditions. For nonlinear systems the unscented Kalman filter uses a carefully selected set of sample points to more accurately map the probability distribution than the linearization of the standard extended Kalman filter, leading to faster convergence from inaccurate initial conditions in attitude estimation problems. In this study, the attitude of a satellite is estimated, simulating real time conditions using real data supplied by gyroscopes, infrared Earth sensors and digital Sun sensors. These sensors are on board the CBERS-2 satellite and the measurements were collected by the Satellite Control Centre of INPE. The satellite attitude is described by Euler angles, due to its easy geometric interpretation and the filter formulation is based on standard attitude-vector measurements using a gyro-based model for attitude propagation. Then by the degraded initial conditions it is possible to conclude that UKF is more efficient and accuracy than EKF. In relation with the process time, the UKF is competitive because although it demands a more time for the estimation process, the CPU time isn´t proportional to the generated sigma-points number. In the same way UKF can be applied in real time problem.
AreaSRE
TypeCBERS: Avaliação e Aplicações
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 16 > Eficiência do Filtro...
Arrangement 2Projeto Memória 60... > Livros e livros editados > SBSR 16 > Eficiência do Filtro...
Arrangement 3urlib.net > DIDMC > Eficiência do Filtro...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/3ERPFQRTRW34M/3E7GLET
zipped data URLhttp://urlib.net/zip/3ERPFQRTRW34M/3E7GLET
Languagept
Target Filep1456.pdf
User Groupadministrator
banon
Visibilityshown
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units3ERPFQRTRW34M/3E7G88S
8JMKD3MGPCW/446AF4B
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.46 1
dpi.inpe.br/marte2/2013/05.28.22.25 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition issn keywords lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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