ADS-B Collaboration with SSR

Autores
Bria, Oscar N.; Giacomantone, Javier
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In an air traffic surveillance station with SSR and ADS-B, the information generated by each sensor can be used to improve the performance of the other. In addition to improving the predictive performance required by Roll- Call interrogations, ADS-B can help to improve SSR performance in the vicinity of the cone of silence, allow passive acquisition and help to identify false SSR targets generated by reflection.
Red de Universidades con Carreras en Informática
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
ADS-B
SSR
Modo S
Collaboration among Sensors
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/165036

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network_name_str SEDICI (UNLP)
spelling ADS-B Collaboration with SSRBria, Oscar N.Giacomantone, JavierCiencias InformáticasADS-BSSRModo SCollaboration among SensorsIn an air traffic surveillance station with SSR and ADS-B, the information generated by each sensor can be used to improve the performance of the other. In addition to improving the predictive performance required by Roll- Call interrogations, ADS-B can help to improve SSR performance in the vicinity of the cone of silence, allow passive acquisition and help to identify false SSR targets generated by reflection.Red de Universidades con Carreras en InformáticaInstituto de Investigación en Informática2023-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf514-523http://sedici.unlp.edu.ar/handle/10915/165036enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-9285-51-0info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/163107info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:15:39Zoai:sedici.unlp.edu.ar:10915/165036Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:15:40.262SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv ADS-B Collaboration with SSR
title ADS-B Collaboration with SSR
spellingShingle ADS-B Collaboration with SSR
Bria, Oscar N.
Ciencias Informáticas
ADS-B
SSR
Modo S
Collaboration among Sensors
title_short ADS-B Collaboration with SSR
title_full ADS-B Collaboration with SSR
title_fullStr ADS-B Collaboration with SSR
title_full_unstemmed ADS-B Collaboration with SSR
title_sort ADS-B Collaboration with SSR
dc.creator.none.fl_str_mv Bria, Oscar N.
Giacomantone, Javier
author Bria, Oscar N.
author_facet Bria, Oscar N.
Giacomantone, Javier
author_role author
author2 Giacomantone, Javier
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
ADS-B
SSR
Modo S
Collaboration among Sensors
topic Ciencias Informáticas
ADS-B
SSR
Modo S
Collaboration among Sensors
dc.description.none.fl_txt_mv In an air traffic surveillance station with SSR and ADS-B, the information generated by each sensor can be used to improve the performance of the other. In addition to improving the predictive performance required by Roll- Call interrogations, ADS-B can help to improve SSR performance in the vicinity of the cone of silence, allow passive acquisition and help to identify false SSR targets generated by reflection.
Red de Universidades con Carreras en Informática
Instituto de Investigación en Informática
description In an air traffic surveillance station with SSR and ADS-B, the information generated by each sensor can be used to improve the performance of the other. In addition to improving the predictive performance required by Roll- Call interrogations, ADS-B can help to improve SSR performance in the vicinity of the cone of silence, allow passive acquisition and help to identify false SSR targets generated by reflection.
publishDate 2023
dc.date.none.fl_str_mv 2023-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/165036
url http://sedici.unlp.edu.ar/handle/10915/165036
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-9285-51-0
info:eu-repo/semantics/reference/url/https://sedici.unlp.edu.ar/handle/10915/163107
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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