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《Science of Surveying and Mapping》 2019-01
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Influence of stochastic model on IGS station velocity and uncertainty

HE Xiaoxing;SUN Xiwen;MA Feihu;XU Jiaqi;School of Civil Engineering and Architecture,East China Jiaotong University;School of Geodesy and Geomatics,Wuhan University;Faculty of Geomatics,East China University of Technology;  
Aiming at the impact of stochastic model on station velocity,a KIC noise model estimation criterion based on Fisher information matrix was proposed and five different noise models(WN,PL,FN+WN,FN+RW and FN+WN+RW)were considered to perform analysis on the influence of different stochastic models on the estimation of international GNSS service(IGS)station velocity and its uncertainty with 45 IGS core stations.The results showed that the IGS station time-series stochastic models were diversified,and an alternative noise model sufficient to represent the IGS stochastic model should be selected when estimating the noise and its velocity.The relative impact of different stochastic models on the IGS station velocity estimates was relative small,but their impact on the estimation of velocity uncertainty could not be ignored.In particular,the influence of RW component on station velocity uncertainty was more obvious.
【Fund】: 中国博士后科学基金项目(2018M632909);; 江西省自然科学基金项目(2017BAB203032);; 国家自然科学基金项目(41464001)
【CateGory Index】: P228.4
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