全球定位系统2025，Vol.50Issue(1)：78-85,8.DOI:10.12265/j.gnss.2024133
GNSS基准站调制季节性信号滤波估计方法
A filtering method for estimating modulated seasonal signals in GNSS reference stations
摘要
Abstract
Seasonal signals in GNSS station coordinate time series are commonly modeled using harmonic functions with constant amplitude and phase.However,the amplitude and phase of seasonal signals are time-varying and show modulation characteristics.We propose a method to accurately estimate modulated seasonal signals in GNSS reference stations using SRIF algorithm.We here study the vertical coordinate time series of GNSS reference stations.By adjusting the standard deviation of process noise,we successfully estimate modulated seasonal signals.Through analyzing and comparing the PSDs of residuals obtained from SRIF and Hector software using different seasonal signal modeling methods,we confirm that the optimal value of the standard deviation of process noise is 0.01 mm for the annual signals.We also investigate the effects of two seasonal signal modeling methods on estimating the linear velocities,and it reveals that the maximum difference in vertical velocity estimation can reach 0.34 mm/a.This indicates that estimating modulated seasonal signals is of great significance for accurately extracting linear velocities and establishing a more precise International Terrestrial Reference Frame.关键词
GNSS站坐标时间序列/均方根信息滤波(SRIF)/过程噪声标准差/调制季节性信号Key words
GNSS station coordinate time series/SRIF/the standard deviation of process noise/modulated seasonal signal分类
天文与地球科学引用本文复制引用
杨乐涵,李岩林,魏娜..GNSS基准站调制季节性信号滤波估计方法[J].全球定位系统,2025,50(1):78-85,8.基金项目
国家自然科学基金(42174028,42474030,41931075) （42174028,42474030,41931075）
