首页|基于变分模态分解的GNSS位置时间序列去噪分析

基于变分模态分解的GNSS位置时间序列去噪分析

扫码查看
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.
Denoising Analysis on GNSS Position Time Series Based on VMD
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.

variational modal decompositionGNSS time seriesnoise

成诚、平旗

展开 >

山西省地震局临汾地震监测中心站,山西 临汾 041000

变分模态分解 GNSS时间序列 噪声

中国地震局监测、预报、科研三结合课题

3JH-202201002

2024

测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
年,卷(期):2024.47(8)