Souza, E. M. de [UNESP]Monico, J. F. G. [UNESP]Polezel, W. G. C. [UNESP]Pagamisse, A. [UNESP]2014-05-272014-05-272008-11-10Record - IEEE PLANS, Position Location and Navigation Symposium, p. 413-417.http://hdl.handle.net/11449/70631Low-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.413-417engFeature extractionKinematicsNavigationSpectrum analysisSpectrum analyzersWavelet transformsDouble differencesGeometry changesHigh precisionsKinematic applicationsMulti-path effectsMultipathMultipath mitigationsReflector surfacesSpectral analysesStationary signalsVehicle movementsStatistical testsTrabalho apresentado em evento10.1109/PLANS.2008.4570097WOS:000258922700135Acesso aberto2-s2.0-5534908439071808796447600380304271846229471