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Signal quality monitoring aspects in GNSS signals affected by evil waveforms

Bibliographic Details
Main Author: Sousa, Fernando
Publication Date: 2022
Other Authors: Nunes, Fernando, Negrinho, António, Fernandes, Pedro, Boto, Pedro
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.21/16033
Summary: Evil waveforms (EWF) are anomalies in the GNSS transmitted signals that can degrade significantly the accuracy of the PVT solution. The cross-correlation function of the incoming signal disturbed by EWF distortion and the locally-generated code signal is obtained analytically for threat models TM-A, TM-B and TM-C. These results are useful to evaluate efficiently the performance of EWF detectors, namely the detectability and hazard regions.
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spelling Signal quality monitoring aspects in GNSS signals affected by evil waveformsEvil waveformThreat modelThreat spaceEvil waveforms (EWF) are anomalies in the GNSS transmitted signals that can degrade significantly the accuracy of the PVT solution. The cross-correlation function of the incoming signal disturbed by EWF distortion and the locally-generated code signal is obtained analytically for threat models TM-A, TM-B and TM-C. These results are useful to evaluate efficiently the performance of EWF detectors, namely the detectability and hazard regions.IEEERCIPLSousa, FernandoNunes, FernandoNegrinho, AntónioFernandes, PedroBoto, Pedro2023-05-16T07:19:27Z2022-08-152022-08-15T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.21/16033eng978-1-6654-1616-0978-1-6654-1617-72325-543910.1109/NAVITEC53682.2022.9847553info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-12T09:49:40Zoai:repositorio.ipl.pt:10400.21/16033Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:02:51.566323Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Signal quality monitoring aspects in GNSS signals affected by evil waveforms
title Signal quality monitoring aspects in GNSS signals affected by evil waveforms
spellingShingle Signal quality monitoring aspects in GNSS signals affected by evil waveforms
Sousa, Fernando
Evil waveform
Threat model
Threat space
title_short Signal quality monitoring aspects in GNSS signals affected by evil waveforms
title_full Signal quality monitoring aspects in GNSS signals affected by evil waveforms
title_fullStr Signal quality monitoring aspects in GNSS signals affected by evil waveforms
title_full_unstemmed Signal quality monitoring aspects in GNSS signals affected by evil waveforms
title_sort Signal quality monitoring aspects in GNSS signals affected by evil waveforms
author Sousa, Fernando
author_facet Sousa, Fernando
Nunes, Fernando
Negrinho, António
Fernandes, Pedro
Boto, Pedro
author_role author
author2 Nunes, Fernando
Negrinho, António
Fernandes, Pedro
Boto, Pedro
author2_role author
author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Sousa, Fernando
Nunes, Fernando
Negrinho, António
Fernandes, Pedro
Boto, Pedro
dc.subject.por.fl_str_mv Evil waveform
Threat model
Threat space
topic Evil waveform
Threat model
Threat space
description Evil waveforms (EWF) are anomalies in the GNSS transmitted signals that can degrade significantly the accuracy of the PVT solution. The cross-correlation function of the incoming signal disturbed by EWF distortion and the locally-generated code signal is obtained analytically for threat models TM-A, TM-B and TM-C. These results are useful to evaluate efficiently the performance of EWF detectors, namely the detectability and hazard regions.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-15
2022-08-15T00:00:00Z
2023-05-16T07:19:27Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/16033
url http://hdl.handle.net/10400.21/16033
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-1-6654-1616-0
978-1-6654-1617-7
2325-5439
10.1109/NAVITEC53682.2022.9847553
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833598463335464960

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