Close

1. Identity statement
Reference TypeThesis or Dissertation (Thesis)
Sitemarte3.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YCT/GUojw
Repositorysid.inpe.br/iris@1905/2005/07.29.05.56.45   (restricted access)
Last Update2018:11.09.11.45.39 (UTC) marciana
Metadata Repositorysid.inpe.br/iris@1905/2005/07.29.05.57
Metadata Last Update2018:11.09.11.45.40 (UTC) marciana
Secondary KeyINPE-6717-TAE/033
Label7887
Citation KeyChamon:1996:FiPaEt
TitleFiltrage particulaire et ouverture synthetique inverse sur cibles radar non-cooperatives
Alternate Titlex
Year1996
Secondary Date19980703
Datedecembre 1996
Access Date2024, May 08
Thesis TypeTese de Doutorado
Secondary TypeTAE
Number of Pages148
Number of Files1
Size3081 KiB
2. Context
AuthorChamon, Marco Antonio
UniversityL'ecole Nationale Superieure de L'Aeronautique et de L'Espace
CityToulouse
History (UTC)2018-06-06 04:03:17 :: administrator -> marciana :: 1996
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsENGENHARIA E TECNOLOGIA ESPACIAL
FILTRAGEM NAO-LINEAR
FILTRO POR PARTICULA
IMAGEM POR RADAR
RADAR DE ABERTURA SINTETICA INVERSA
RASTREAMENTO POR RADAR
CINTILACAO
NONLINEAR FILTERING
PARTICLE FILTERING
RADAR IMAGING
INVERSE SYNTHETIC APERTURE RADAR
ISAR
RADAR TRACKING
GLINT
AbstractParticle filtering and inverse synthetic aperture radar applied to manoeuvring targets. This report describes the application of optimal non-linear/non-Gaussian filtering to the radar signal processing problem. This approach, made feasible by a new technique named Particle Filtering, may cope with nonlinear models without any restrictions as well as non-Gaussian dynamic and observation noises. The main feature of the Particle Filtering is that it constructs the conditional probability of the state variables, with respect to the measurements, through a random exploration of the state variables, with respect to the measurements, through a random exploration of the state space by entities called particles. A weight is assigned to each particle by a Bayes correction term based on the measurements. The application of this new filter to the inverse synthetic aperture radar (ISAR) technique allows the joint estimation of the path and the image of a manoeuvring target in weak signal to noise ratio situations. The same algorithm can be used also to deal with the simpler problem of target tracking in presence of glint.
AreaETES
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languagefr
Target FileINPE-6717.pdf
User Groupadministrator
Visibilityshown
Read Permissiondeny from all
Update Permissionnot transferred
5. Allied materials
Host Collectionsid.inpe.br/banon/2001/04.03.15.36
6. Notes
Empty Fieldsacademicdepartment affiliation archivingpolicy archivist callnumber committee copyholder copyright course creatorhistory descriptionlevel dissemination doi e-mailaddress electronicmailaddress format group isbn issn lineage mark mirrorrepository nextedition nexthigherunit notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress readergroup resumeid rightsholder schedulinginformation secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url versiontype
7. Description control
e-Mail (login)marciana
update 


Close