COMPARISON AMONG THREE SPATIOTEMPORAL FILTERINGMETHODS FOR REGIONAL GPS NETWORKS ANALYSIS
Hu Shouchao; Wu Jicang ;and Sun Yafeng
Department of Surveying and Geo-Informatics, Tongji University, Shanghai 200092
Abstract Three regional filtering methods:stacking, principal component analysis and KarhunenLoeve expansion, were respectively applied to analyze the time series of daily coordinate for five years from twelve stations of Southern California integrated GPS network. The results indicate that the common mode errors can be extracted with all three methods and thereby the precision of coordinates will be improved remarkably, but they have respective advantages and disadvantages.
Key words :
GPS time series
common mode errors
filtering
principal component analysis
Karhunen-Loeve expansion
Received: 01 January 1900
Corresponding Authors:
Hu Shouchao
Cite this article:
Hu Shouchao,Wu Jicang,and Sun Yafeng. COMPARISON AMONG THREE SPATIOTEMPORAL FILTERINGMETHODS FOR REGIONAL GPS NETWORKS ANALYSIS[J]. , 2009, 29(3): 95-99.
Hu Shouchao,Wu Jicang,and Sun Yafeng. COMPARISON AMONG THREE SPATIOTEMPORAL FILTERINGMETHODS FOR REGIONAL GPS NETWORKS ANALYSIS[J]. jgg, 2009, 29(3): 95-99.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2009/V29/I3/95
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