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hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
hal.structure.identifierUniversité de Bretagne Sud [UBS]
hal.structure.identifierLab-STICC_UBS_CACS_IAS
dc.contributor.authorKERHASCOET, Hugo
hal.structure.identifierUniversité de Bretagne Sud [UBS]
hal.structure.identifierLab-STICC_UBS_CACS_IAS
dc.contributor.authorLAURENT, Johann
hal.structure.identifierUniversité de Bretagne Sud [UBS]
hal.structure.identifierLab-STICC_UBS_CACS_IAS
dc.contributor.authorSENN, Eric
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorHAUVILLE, Frédéric
dc.date.accessioned2021-05-14T09:42:20Z
dc.date.available2021-05-14T09:42:20Z
dc.date.issued2016-09
dc.date.conference2016-09
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/76725
dc.description.abstractNavigation systems used in racing boats require sensors to be more and more sophisticated in order to obtain accurate information in real time. To meet the need for accuracy of the surface speed measurement, the mechanical sensor paddle wheel has been replaced by the ultrasonic sensor. This ultrasonic sensor measures the water speed precisely and with very good linearity. Furthermore, by its principle of operation, it measures the water flow several centimetres from the sensor, which puts itoutside the boundary layer, the region close to the hull where the flow is disturbed. However, this sensor has several drawbacks: itis quite sensitive and if the flow contains too many air bubbles, the sensor picks them up, which can happen quite frequently on boat with a planing hull. Another limitation of this sensor is its low frequency measurement rate. In this paper we explain the techniques used based on Kalman filters to address these shortcomings, firstly by identifying the inaccurate measurements caused by inadvertent dropouts, then by improving the useful sensor frequency with GNSS data fusion.
dc.language.isoen
dc.source.titleOCEANS’16 MTS/IEEE
dc.titleSpeedometer Fault Detection and GNSS Fusion using Kalman Filters
dc.typeCommunication dans un congrès avec actes
dc.subject.halSciences de l'ingénieur [physics]/Electronique
bordeaux.page8
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.countryUS
bordeaux.title.proceedingOCEANS’16 MTS/IEEE
bordeaux.conference.cityMonterey
bordeaux.peerReviewedoui
hal.identifierhal-02141279
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02141279v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Speedometer%20Fault%20Detection%20and%20GNSS%20Fusion%20using%20Kalman%20Filters&rft.btitle=OCEANS%E2%80%9916%20MTS/IEEE&rft.atitle=Speedometer%20Fault%20Detection%20and%20GNSS%20Fusion%20using%20Kalman%20Filters&rft.date=2016-09&rft.spage=8&rft.epage=8&rft.au=KERHASCOET,%20Hugo&LAURENT,%20Johann&SENN,%20Eric&HAUVILLE,%20Fr%C3%A9d%C3%A9ric&rft.genre=proceeding


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