Time Series Analysis Of National Base Station BDS

BeiDou Navigation Satellite System(BDS)is an important space infrastructure in China,and plays an important role in navigation,positioning and timing.At present,China has completed the deployment of the core constellation of the Beidou global system.Since BDS provided services to the Asian and Pacific coast areas,our national continuous operation reference station has been changed from single-mode(GPS)to multi-mode(GPS/BDS/GLONASS/GALILEO),which has enriched observation data of Beidou satellite navigation system at national reference stations.China is located at the boundary between the seismic zone and the plate.Due to plate movement and other factors,the actual position of the continuously operating reference station changes with the crustal movement.This provides excellent data and regional conditions for the application research of BDS in high-precision monitoring.Based on this,this paper explores and studies the BDS coordinate time series,first introduces the time series analysis method and related theoretical models,then extracts and separates the common mode error and noise information in the BDS coordinate time series,and finally Analyze some non-linear influencing factors(atmospheric load,hydrological load,non-tidal ocean load)in the modified BDS time series.In response to the above,this article mainly studies the following parts:(1)Introduce systematically the analysis method of GNSS coordinate time series,discuss the extraction method of common mode error of GNSS coordinate time series,and analyze the advantages and disadvantages of regional superposition filtering method and principal component analysis method.Finally,Elaborated several types of noise of the base station and the evaluation criteria of the best noise model.(2)The data processing strategy of BDS and GPS observations is systematically introduced.Several coordinate time series preprocessing methods are summarized.Based on the weighted stack filtering method,the feasibility of weighted stack filtering with distance factors is explored.(3)The thesis deeply analyzes the impact of environmental load(atmospheric load,non-tidal ocean load,hydrological load)on the reference stations in the study area,and through the correlation between the integrated environmental load and the BDS and GPS coordinate time series and the load correction before and after coordinates The rate of change of the WRMS value of the time series quantitatively gives the effect of the environmental load on the displacement of the reference station.(4)Using the BDS and GPS observation data in the study area,through the combination of noise models,the establishment of the BDS and GPS coordinate time series noise model is studied,and the BDS and GPS statistics in the study area are the base stations N,E,and U.The best noise model in each direction.Finally,based on the best noise model,the horizontal velocity distribution of the reference station in the study area is estimated.