The Effect of Colored Noise on the Coordinate Time Series Analysis of Continuous GPS Stations in Antarctic Peninsula

Abstract

Recent researches show not only white noise but also colored noise widely existed in various continuous GPS station coordinate time series, and the colored noise also has an important influence on GPS time series analysis. To determine the optimal noise model of GPS time series in the Antarctic Peninsula, and analyze the influence of colored noise and spatial filtering on the parameters estimation and uncertainty of GPS coordinate time series, the GAMIT/GLOBK 10.5 software is used to solve the measured data of eight GPS stations from 2010 to 2014, and the CATS software is used to estimate the parameters of the coordinate time series in different noise models. The results show that, (1) the combination of white noise, flicker noise, and random walk noise is the best noise model in the Antarctic Peninsula; (2) The main component of the noise model is flicker noise, and the random walk noise only exists in the east direction of a few stations; (3) In Antarctic Peninsula area, regional spatial filtering can greatly reduce the uncertainties in the linear and periodic parameter estimation of GPS time series, by effectively reducing the white noise, flicker noise, and random walk noise.