dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorSouza, E. M. de
dc.creatorMonico, J. F. G.
dc.creatorPolezel, W. G. C.
dc.creatorPagamisse, A.
dc.date2014-05-27T11:23:41Z
dc.date2016-10-25T18:26:07Z
dc.date2014-05-27T11:23:41Z
dc.date2016-10-25T18:26:07Z
dc.date2008-11-10
dc.date.accessioned2017-04-06T01:32:51Z
dc.date.available2017-04-06T01:32:51Z
dc.identifierRecord - IEEE PLANS, Position Location and Navigation Symposium, p. 413-417.
dc.identifierhttp://hdl.handle.net/11449/70631
dc.identifierhttp://acervodigital.unesp.br/handle/11449/70631
dc.identifier10.1109/PLANS.2008.4570097
dc.identifierWOS:000258922700135
dc.identifier2-s2.0-55349084390
dc.identifierhttp://dx.doi.org/10.1109/PLANS.2008.4570097
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/891706
dc.descriptionLow-frequency multipath is still one of the major challenges for high precision GPS relative positioning. In kinematic applications, mainly, due to geometry changes, the low-frequency multipath is difficult to be removed or modeled. Spectral analysis has a powerful technique to analyze this kind of non-stationary signals: the wavelet transform. However, some processes and specific ways of processing are necessary to work together in order to detect and efficiently mitigate low-frequency multipath. In this paper, these processes are discussed. Some experiments were carried out in a kinematic mode with a controlled and known vehicle movement. The data were collected in the presence of a reflector surface placed close to the vehicle to cause, mainly, low-frequency multipath. From theanalyses realized, the results in terms of double difference residuals and statistical tests showed that the proposed methodology is very efficient to detect and mitigate low-frequency multipath effects. © 2008 IEEE.
dc.languageeng
dc.relationRecord - IEEE PLANS, Position Location and Navigation Symposium
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFeature extraction
dc.subjectKinematics
dc.subjectNavigation
dc.subjectSpectrum analysis
dc.subjectSpectrum analyzers
dc.subjectWavelet transforms
dc.subjectDouble differences
dc.subjectGeometry changes
dc.subjectHigh precisions
dc.subjectKinematic applications
dc.subjectMulti-path effects
dc.subjectMultipath
dc.subjectMultipath mitigations
dc.subjectReflector surfaces
dc.subjectSpectral analyses
dc.subjectStationary signals
dc.subjectVehicle movements
dc.subjectStatistical tests
dc.titleSpectral analysis and low-frequency multipath mitigation for kinematic applications
dc.typeOtro


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