Improving the Processing Stragegy Based on Double-DifferencedObservations for Huge GNSS Network
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Abstract
Objective In connection with huge GNSS network data processing,has three strategy approches,awhole huge net data process,a non-difference method and a divide the network to small networksprocess,we propose to divide a network and analyse the limitations of this module based on theGAMIT subnet module and present a move grid density method.The method is researched and ana-lyzed in detail using data from CMONOC.The results indicate that the baseline repeatability and siteprecision is more than methods based on the GAMIT subnet module method’s result,while the algo-rithm weakens the unreasonable situation in subnetting,enhancing the reliability of a subnet struc-ture.
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