Using cubic splines to mitigate systematic errors in GPS relative positioning

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorAlves, Daniele Barroca Marra
dc.date2014-05-27T11:21:13Z
dc.date2016-10-25T18:20:13Z
dc.date2014-05-27T11:21:13Z
dc.date2016-10-25T18:20:13Z
dc.date2004-12-01
dc.date.accessioned2017-04-06T01:11:32Z
dc.date.available2017-04-06T01:11:32Z
dc.identifierProceedings of the 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004, p. 1374-1381.
dc.identifierhttp://hdl.handle.net/11449/68030
dc.identifierhttp://acervodigital.unesp.br/handle/11449/68030
dc.identifier2-s2.0-22144437417
dc.identifierhttp://www.ion.org/publications/abstract.cfm?articleID=5816
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/889412
dc.descriptionSystematic errors can have a significant effect on GPS observable. In medium and long baselines the major systematic error source are the ionosphere and troposphere refraction and the GPS satellites orbit errors. But, in short baselines, the multipath is more relevant. These errors degrade the accuracy of the positioning accomplished by GPS. So, this is a critical problem for high precision GPS positioning applications. Recently, a method has been suggested to mitigate these errors: the semiparametric model and the penalised least squares technique. It uses a natural cubic spline to model the errors as a function which varies smoothly in time. The systematic errors functions, ambiguities and station coordinates, are estimated simultaneously. As a result, the ambiguities and the station coordinates are estimated with better reliability and accuracy than the conventional least square method.
dc.languageeng
dc.relationProceedings of the 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectData acquisition
dc.subjectElectromagnetic wave refraction
dc.subjectIonosphere
dc.subjectLeast squares approximations
dc.subjectMathematical models
dc.subjectMeteorological problems
dc.subjectNavigation
dc.subjectReceiving antennas
dc.subjectSplines
dc.subjectSystematic errors
dc.subjectTroposphere
dc.subjectAtmosphere refractions
dc.subjectGlobal Navigation Satellite Systems (GNSS)
dc.subjectRelative positioning
dc.subjectTerrestrial surface
dc.subjectGlobal positioning system
dc.titleUsing cubic splines to mitigate systematic errors in GPS relative positioning
dc.typeOtro


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