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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3KLNKBL
Repositorysid.inpe.br/mtc-m21b/2015/11.26.17.36   (restricted access)
Last Update2016:01.05.18.13.22 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2015/11.26.17.36.08
Metadata Last Update2021:02.11.18.12.31 (UTC) administrator
DOI10.1155/2015/168045
ISSN1024-123X
Citation KeyPardalKugaMora:2015:PaFiSa
TitleThe particle filter sample impoverishment problem in the orbit determination application
Year2015
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2366 KiB
2. Context
Author1 Pardal, Paula Cristiane Pinto Mesquita
2 Kuga, Hélio Koiti
3 Moraes, Rodolpho Vilhena de
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC9
Group1
2 DMC-ETE-INPE-MCTI-GOV-BR
Affiliation1 Universidade de São Paulo (USP)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Federal de São Paulo (UNIFESP)
Author e-Mail Address1
2 helio.kuga@inpe.br
JournalMathematical Problems in Engineering
Volume2015
Pages168045
Secondary MarkA2_ENGENHARIAS_I B1_INTERDISCIPLINAR B1_GEOCIÊNCIAS B1_ENGENHARIAS_IV B1_ENGENHARIAS_III B1_CIÊNCIAS_AGRÁRIAS_I B2_ENGENHARIAS_II B3_CIÊNCIA_DA_COMPUTAÇÃO B4_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B4_CIÊNCIAS_BIOLÓGICAS_II B5_ASTRONOMIA_/_FÍSICA
History (UTC)2015-11-26 17:36:08 :: simone -> administrator ::
2021-02-11 18:12:31 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractThe paper aims at discussing techniques for administering one implementation issue that often arises in the application of particle filters: sample impoverishment. Dealing with such problem can significantly improve the performance of particle filters and can make the difference between success and failure. Sample impoverishment occurs because of the reduction in the number of truly distinct sample values. A simple solution can be to increase the number of particles, which can quickly lead to unreasonable computational demands, which only delays the inevitable sample impoverishment. There are more intelligent ways of dealing with this problem, such as roughening and prior editing, procedures to be discussed herein. The nonlinear particle filter is based on the bootstrap filter for implementing recursive Bayesian filters. The application consists of determining the orbit of an artificial satellite using real data from the GPS receivers. The standard differential equations describing the orbital motion and the GPS measurements equations are adapted for the nonlinear particle filter, so that the bootstrap algorithm is also used for estimating the orbital state. The evaluation will be done through convergence speed and computational implementation complexity, comparing the bootstrap algorithm results obtained for each technique that deals with sample impoverishment.
AreaETES
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > The particle filter...
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Languageen
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policydenypublisher allowfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/446AF4B
Citing Item Listsid.inpe.br/bibdigital/2021/02.11.18.06 5
sid.inpe.br/mtc-m21/2012/07.13.14.49.46 2
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype url
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