Noise behavior in CGPS position time series : the eastern North America case study

Authors: Goudarzi, Mohammad AliCocard, MarcSanterre, Rock
Abstract: We analyzed the noise characteristics of 112 continuously operating GPS stations in eastern North America using the Spectral Analysis and the Maximum Likelihood Estimation (MLE) methods. Results of both methods show that the combination ofwhite plus flicker noise is the best model for describing the stochastic part of the position time series. We explored this further using the MLE in the time domain by testing noise models of (a) powerlaw, (b)white, (c)white plus flicker, (d)white plus randomwalk, and (e) white plus flicker plus random-walk. The results show that amplitudes of all noise models are smallest in the north direction and largest in the vertical direction. While amplitudes of white noise model in (c–e) are almost equal across the study area, they are prevailed by the flicker and Random-walk noise for all directions. Assuming flicker noise model increases uncertainties of the estimated velocities by a factor of 5–38 compared to the white noise model.
Document Type: Article de recherche
Issue Date: 7 September 2015
Open Access Date: 23 November 2016
Document version: VoR
This document was published in: Journal of Geodetic Science, Vol. 5 (1), 119-147 (2015)
Alternative version: 10.1515/jogs-2015-0013
Collection:Articles publiés dans des revues avec comité de lecture

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