Research on Elimination of Common Mode Error in Large-Scale GPS Networks
Abstract The data of 12 continuous GPS reference stations from Jan 1st, 2006 to Dec 31st, 2014 are computed and compared using stacking filtering, PCA, and KLE methods. The mean baseline of these GPS sites is 2 000 km. After common mode error is removed, the mean RMS of coordinate time series declined 69%, 60% and 41% in N, E, U directions respectively, and position precision is highly improved. For large-scale GPS Networks, PCA and KLE methods can reveal spatial patterns of different sites, more effectively than the stacking filtering method.
Key words :
GPS time series
stacking filtering
CME
PCA
KLE
Cite this article:
WANG Jian,ZHOU Xiaohui,ZHU Zhaohan et al. Research on Elimination of Common Mode Error in Large-Scale GPS Networks[J]. jgg, 2018, 38(1): 78-82.
WANG Jian,ZHOU Xiaohui,ZHU Zhaohan et al. Research on Elimination of Common Mode Error in Large-Scale GPS Networks[J]. jgg, 2018, 38(1): 78-82.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2018/V38/I1/78
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