Suppr超能文献

基于奇异谱分析的LAGEOS地球质心运动中地球物理信号的分离

Separation of geophysical signals in the LAGEOS geocentre motion based on singular spectrum analysis.

作者信息

Yu Hongjuan, Sośnica Krzysztof, Shen Yunzhong

机构信息

College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China.

Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Grunwaldzka 53, 50-357 Wrocław, Poland.

出版信息

Geophys J Int. 2021 Feb 18;225(3):1755-1770. doi: 10.1093/gji/ggab063. eCollection 2021 Jun.

Abstract

We recompute the 26-yr weekly Geocentre Motion (GCM) time-series from 1994 to 2020 through the network shift approach using Satellite Laser Ranging (SLR) observations to LAGEOS1/2. Then the Singular Spectrum Analysis (SSA) is applied for the first time to separate and investigate the geophysical signals from the GCM time-series. The Principal Components (PCs) of the embedded covariance matrix of SSA from the GCM time-series are determined based on the w-correlation criterion and two PCs with large w-correlation are regarded as one periodic signal pair. The results indicate that the annual signal in all three coordinate components and semi-annual signal in both and components are detected. The annual signal from this study agrees well in both amplitude and phase with those derived by the Astronomical Institute of the University of Bern and the Center for Space Research, especially for the and components. Besides, the other periodic signals with the periods of (1043.6, 85, 28), (570, 280, 222.7) and (14.1, 15.3) days are also quantitatively explored for the first time from the GCM time-series by using SSA, interpreting the corresponding geophysical and astrodynamic sources of aliasing effects of K/O, T and M tides, draconitic effects, and overlapping effects of the ground-track repeatability of LAGEOS1/2.

摘要

我们通过网络偏移方法,利用对LAGEOS1/2的卫星激光测距(SLR)观测,重新计算了1994年至2020年26年的每周地心运动(GCM)时间序列。然后,首次应用奇异谱分析(SSA)从GCM时间序列中分离并研究地球物理信号。基于w相关准则确定GCM时间序列的SSA嵌入协方差矩阵的主成分(PC),两个具有大w相关性的PC被视为一个周期信号对。结果表明,检测到了所有三个坐标分量中的年信号以及 和 分量中的半年信号。本研究中的年信号在幅度和相位上与伯尔尼大学天文研究所和空间研究中心得出的结果非常吻合,特别是对于 和 分量。此外,还首次利用SSA从GCM时间序列中定量探索了周期为(1043.6、85、28)天、(570、280、222.7)天和(14.1、15.3)天的其他周期信号,解释了K/O、T和M潮汐的混叠效应、交点月效应以及LAGEOS1/2地面轨迹重复性的重叠效应的相应地球物理和天体动力学来源。

相似文献

8
A singular spectrum analysis-based model-free electrocardiogram denoising technique.基于奇异谱分析的无模型心电图去噪技术。
Comput Methods Programs Biomed. 2020 May;188:105304. doi: 10.1016/j.cmpb.2019.105304. Epub 2020 Jan 2.

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验