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OA
Extraction of common mode error based on SSA method and its impact analysis on GNSS vertical coordinate time series
本研究基于德国北部24个GNSS测站8a的数据,引入奇异谱分析方法(singular spectrum analysis,SSA),提出一种顾及不同残差子分量互相关性及子分量贡献率的共模误差(common mode error,CME)识别方法.探讨了 CME对GNSS坐标时间序列噪声和参数估计的影响.通过与主成分分析(principal component analysis,PCA)方法的对比发现,提出的新方法与PCA方法提取的CME结果非常接…查看全部>>
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 comp…查看全部>>
黄留波
广西机电职业技术学院,南宁 530007
测绘与仪器
共模误差(CME)GNSS奇异谱分析噪声主成分分析(PCA)
common mode error(CME)Global Navigation Satellite Systems(GNSS)singular spec-trum analysisnoiseprincipal component analysis(PCA)
《全球定位系统》 2024 (3)
45-50,79,7
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