全球定位系统2024，Vol.49Issue(3)：45-50,79,7.DOI:10.12265/j.gnss.2023223
基于SSA方法的共模误差提取及其对GNSS垂向坐标时间序列的影响分析
Extraction of common mode error based on SSA method and its impact analysis on GNSS vertical coordinate time series
黄留波1
作者信息
- 1. 广西机电职业技术学院,南宁 530007
- 折叠
摘要
Abstract
This study,based on eight years of data from 24 Global Navigation Satellite Systems(GNSS)stations in northern Germany,introduces the singular spectrum analysis method.It proposes a common mode error identification method that considers the inter-correlation of different residual subcomponents and their contribution rates.The impact of common mode errors on GNSS coordinate time series noise and parameter estimation is explored.Compared with the principal component analysis(PCA)method,it is found that the method proposed in this paper closely aligns with the common mode errors extracted by PCA,confirming the feasibility of the new method.The GNSS common mode error sequence mainly contains white noise,flicker noise,and power-law noise with non-integer spectral indices.After removing common mode errors,the magnitude of white noise and colored noise at each station decreased by an average of 30.32％and 52.61％respectively,indicating that colored noise dominates in common mode errors.Furthermore,after correcting common mode errors,the annual and semi-annual cycle amplitudes of coordinates are reduced,and the root mean square error of parameter fitting is decreased by 16.7％.In summary,the method described in this paper is of significant practical importance in improving the quality of GNSS coordinate time series.关键词
共模误差(CME)/GNSS/奇异谱分析/噪声/主成分分析(PCA)Key words
common mode error(CME)/Global Navigation Satellite Systems(GNSS)/singular spec-trum analysis/noise/principal component analysis(PCA)分类
天文与地球科学引用本文复制引用
黄留波..基于SSA方法的共模误差提取及其对GNSS垂向坐标时间序列的影响分析[J].全球定位系统,2024,49(3):45-50,79,7.
