地理空间信息2026，Vol.24Issue(5)：32-38,7.DOI:10.3969/j.issn.1672-4623.2026.05.007
GNSS测站非线性垂向运动和周期信号提取方法与规律分析
Nonlinear Vertical Motion and Periodic Signal Extraction Methods and Pattern Analysis for GNSS Stations
摘要
Abstract
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.关键词
GNSS/地壳垂向运动/周期信号/奇异谱分析/非线性最小二乘拟合Key words
GNSS/crustal vertical motion/periodic signal/SSA/nonlinear least squares fitting分类
天文与地球科学引用本文复制引用
段政明..GNSS测站非线性垂向运动和周期信号提取方法与规律分析[J].地理空间信息,2026,24(5):32-38,7.基金项目
杨凌职业技术学院校内基金资助项目(JB2023-003) （JB2023-003）
陕西省重点研发计划资助项目(2024NC-YBXM-207). （2024NC-YBXM-207）
