GNSS测站非线性垂向运动和周期信号提取方法与规律分析OA

In order to improve the accuracy of nonlinear vertical motion and periodic signal analysis and reveal their spatial distribution characteristics,we proposed an extraction method for nonlinear station velocities and multi-periodic signals by combining singular spectrum analysis(SSA)and nonlinear least squares fitting based on over 600 global navigation satellite system(GNSS)stations observation data.Using GAMIT/GLOBK 10.7 to calculate data,we found that the horizontal data(northward and eastward)achieved high calculation accuracy,with errors generally less than 6 mm.Although vertical accuracy fluctuated,the overall accuracy was approximately 8 mm,which was sufficient for nonlinear vertical motion and periodic signal analysis.The analysis of terrestrial vertical motion revealed that more than 90%of GNSS stations globally exhibited significant nonlinear vertical movement,with notable spatial variability across different latitude bands and elevation regions.The analysis of periodic signals showed that the amplitude of periodic signals was influenced by latitude,elevation,and geographical environment,reflecting the combined effects of crustal movement,climatic loads,and tidal effects on the GNSS vertical coordinates.