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Characterization and performance analysis of a VDFLL GNSS receiver architecture

dc.contributor.authorSousa, Fernando
dc.contributor.authorNunes, Fernando
dc.date.accessioned2015-09-07T11:25:31Z
dc.date.available2015-09-07T11:25:31Z
dc.date.issued2012
dc.description.abstractA non-coherent vector delay/frequency-locked loop architecture for GNSS receivers is proposed. Two dynamics models are considered: PV (position and velocity) and PVA (position, velocity, and acceleration). In contrast with other vector architectures, the proposed approach does not require the estimation of signals amplitudes. Only coarse estimates of the carrier-to-noise ratios are necessary.por
dc.identifier.citationSOUSA, Fernando M. G.; NUNES, Fernando D. – Characterization and performance analysis of a VDFLL GNSS receiver architecture. In Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), 6th ESA Workshop. IEEE, 2012. ISBN: 978-1-4673-2010-8. Pp. 1-8por
dc.identifier.doi10.1109/NAVITEC.2012.6423081
dc.identifier.isbn978-1-4673-2010-8
dc.identifier.issn2325-5439
dc.identifier.urihttp://hdl.handle.net/10400.21/5076
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleCharacterization and performance analysis of a VDFLL GNSS receiver architecturepor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage8por
oaire.citation.startPage1por
oaire.citation.titleSatellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), 6th ESA Workshoppor
person.familyNameSousa
person.familyNameNunes
person.givenNameFernando
person.givenNameFernando
person.identifier.orcid0000-0003-2520-7553
person.identifier.orcid0000-0001-6573-4492
person.identifier.ridR-2624-2016
person.identifier.scopus-author-id7005110259
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationfca8aa4a-079f-41c1-9d52-098212a59b44
relation.isAuthorOfPublication42afe5b2-2807-459c-8abb-f6d8c08e589c
relation.isAuthorOfPublication.latestForDiscoveryfca8aa4a-079f-41c1-9d52-098212a59b44

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