Acta Geodaetica et Cartographica Sinica ›› 2018, Vol. 47 ›› Issue (10): 1337-1345.doi: 10.11947/j.AGCS.2018.20170616

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Establishment of Statistical Correction Model for Vertical Annual Variations of Global GPS Stations

FU Yanbo, SUN Fuping, ZHU Xinhui, LIU Jing   

  1. Information Engineering University, Zhengzhou 450001, China
  • Received:2017-11-05 Revised:2018-03-23 Online:2018-10-20 Published:2018-10-24
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41374027;41674042)

Abstract: The research and modeling of nonlinear variations of GPS stations coordinates are effective ways to weaken nonlinear motion of the stations. However,due to the diversity and complexity of nonlinear variations of stations' coordinates,the theoretical correction model contained multiple mechanisms has not been established to weaken the nonlinear motion of GPS stations.In this paper,global distribution regularity of annual terms of vertical coordinates of stations was discovered based on the measured vertical coordinates residuals of nearly 500 GPS stations,two statistical correction models of annual variations based on measured data were respectively constructed for the northern and southern hemispheres.The experiments show that the statistical correction model proposed in this paper can weaken 30%~50% vertical coordinate residuals of most GPS stations in the world.

Key words: nonlinear variations, annual term, global distribution regularity, statistical correction model, vertical coordinates time series

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