Gnss blind interference detection based on fourth-order autocumulants
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/7946 |
Resumo: | GNSS signals affected by additive channel noise are approximately Gaussian, but often the presence of interference may change that distribution.We propose a blind detection method based on the Giannakis-Tsatsanis Gaussianity test to evaluate the presence of narrowband and wideband non-Gaussian interference. This method, resorting to the sample fourth-order autocumulants, is compared to other Gaussianity tests. The asymptotic covariance matrix of the estimated autocumulant vector is analytically determined, thus reducing the complexity of the proposed technique. |
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Gnss blind interference detection based on fourth-order autocumulantsSignalTestsOrderGNSS signals affected by additive channel noise are approximately Gaussian, but often the presence of interference may change that distribution.We propose a blind detection method based on the Giannakis-Tsatsanis Gaussianity test to evaluate the presence of narrowband and wideband non-Gaussian interference. This method, resorting to the sample fourth-order autocumulants, is compared to other Gaussianity tests. The asymptotic covariance matrix of the estimated autocumulant vector is analytically determined, thus reducing the complexity of the proposed technique.Institute of Electrical and Electronics EngineersRCIPLNunes, FernandoSousa, Fernando2018-01-19T10:35:37Z2016-102016-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/7946engNUNES, Fernando D.; SOUSA, Fernando M. G. – GNSS blind interference detection based on fourth-order autocumulants. IEEE Transactions on Aerospace and Electronic Systems. ISSN 0018-9251. Vol. 52, N.º 5 (2016), pp. 2574–25860018-925110.1109/TAES.2016.150499metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T09:54:43Zoai:repositorio.ipl.pt:10400.21/7946Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:16:47.998133Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Gnss blind interference detection based on fourth-order autocumulants |
title |
Gnss blind interference detection based on fourth-order autocumulants |
spellingShingle |
Gnss blind interference detection based on fourth-order autocumulants Nunes, Fernando Signal Tests Order |
title_short |
Gnss blind interference detection based on fourth-order autocumulants |
title_full |
Gnss blind interference detection based on fourth-order autocumulants |
title_fullStr |
Gnss blind interference detection based on fourth-order autocumulants |
title_full_unstemmed |
Gnss blind interference detection based on fourth-order autocumulants |
title_sort |
Gnss blind interference detection based on fourth-order autocumulants |
author |
Nunes, Fernando |
author_facet |
Nunes, Fernando Sousa, Fernando |
author_role |
author |
author2 |
Sousa, Fernando |
author2_role |
author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Nunes, Fernando Sousa, Fernando |
dc.subject.por.fl_str_mv |
Signal Tests Order |
topic |
Signal Tests Order |
description |
GNSS signals affected by additive channel noise are approximately Gaussian, but often the presence of interference may change that distribution.We propose a blind detection method based on the Giannakis-Tsatsanis Gaussianity test to evaluate the presence of narrowband and wideband non-Gaussian interference. This method, resorting to the sample fourth-order autocumulants, is compared to other Gaussianity tests. The asymptotic covariance matrix of the estimated autocumulant vector is analytically determined, thus reducing the complexity of the proposed technique. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-10 2016-10-01T00:00:00Z 2018-01-19T10:35:37Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/7946 |
url |
http://hdl.handle.net/10400.21/7946 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
NUNES, Fernando D.; SOUSA, Fernando M. G. – GNSS blind interference detection based on fourth-order autocumulants. IEEE Transactions on Aerospace and Electronic Systems. ISSN 0018-9251. Vol. 52, N.º 5 (2016), pp. 2574–2586 0018-9251 10.1109/TAES.2016.150499 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133429442281472 |