Multi-period GNSS network monitoring based on model compensation
How to utilize part of new information from multiple observations by GNSS network moni-toring data processing is an urgent problem needing to be solved for the intensive historical observation data from Global Navigation Satellite Systems(GNSS).Therefore,a compensation model is proposed in this paper by using some new observations in the GNSS monitoring network,which is incorporated into the observation equation of the historical monitoring network to correct and update the spatial posi-tion parameters of historical GNSS monitoring network.In order to analyze the effectiveness of GNSS muti-period monitoring network by different compensation models,three schemes are designed to con-struct the constraint conditions by selecting GNSS multi-period monitoring network data from a prov-ince in western China as the testing object.The results showed that the additional compensation model with different conditions has a certain adjustment on the horizongtal and vertical spatial parameters.The influence of the prior constraint based on some new change information on the parameters is closed to new information,and its vertical direction correction effect is most obvious.The fusion of old and new method equations based on partially changing new information has an"average"effect on param-eter estimation.The prior constraint conditions based on stable reference stations mainly achieve the transformation of spatial parameters.
model compensationGNSS monitoringstabilityparameter estimation
万方数据
维普
