基于变分模态分解的GNSS位置时间序列去噪分析
Denoising Analysis on GNSS Position Time Series Based on VMD
成诚 1平旗1
作者信息
- 1. 山西省地震局临汾地震监测中心站,山西 临汾 041000
- 折叠
摘要
针对GNSS基准站位置时间序列中叠加复杂噪声,且很难将其有效剥离的情况,尝试用变分模态分解(VMD)对山西地区GNSS基准站时间序列做去噪处理.首先,通过搜寻变分模态的最优解,得到若干的模态分量;其次,剔除模态分量中的高频信号,进行模态函数的叠加与重构,得到去噪后的站点时间序列;最后,用均方根误差(RMSE)指标评价V去噪效果.结果表明,变分模态分解(VMD)能有效地分离序列中噪声信号,削弱其对GNSS基准站时间序列的影响,降低非构造信息的影响.为分析预报人员提供可靠、高精度地壳运动信息,更好地为地震预报服务.
Abstract
The time series of GNSS reference station superimposed complex noise and it is difficult to effectively denoise,this paper u-ses VMD to denoise the time series of GNSS reference stations in Shanxi province.First,we search for the optimal solution of varia-tional modes and obtain a series of modal components;second,we eliminate the high-frequency signal in modal components,carry out the superposition and reconstruction of modal functions and obtain the denoised time series of station positions;finally,RMSE index is used to evaluate the denoising effect.The result show that the VMD method can effectively separate noise signals from series,re-duce the impact of non-structural information and improve the accuracy of GNSS reference station time series.It provides reliable and high-accuracy crustal movement related information for analysis and prediction personnel,and better service for earthquake predic-tion.
关键词
变分模态分解/GNSS时间序列/噪声Key words
variational modal decomposition/GNSS time series/noise引用本文复制引用
基金项目
中国地震局监测、预报、科研三结合课题(3JH-202201002)
出版年
2024
NETL
NSTL
万方数据