最小二乘谱及其在超导重力观测数据分析中的应用

基金项目: 国家留学基金委资助项目；加拿大国家杰出研究中心GEOIDE资助项目；湖北省高等学校省级教学研究资助项目(20012080)；地球空间环境与大地测量教育部重点实验室开放研究基金资助项目(040108)

详细信息

Least Squares Spectral Analysis and Its Application to Superconducting Gravimeter Data Analysis

¹ School of Geodesy and Geomatics, Wuhan University,129 Luoyu Road, Wuhan 430079, China ;² Department of Earth and Space Science and Engineering, York University, Toronto, Canada

Funds: 国家留学基金委资助项目；加拿大国家杰出研究中心GEOIDE资助项目；湖北省高等学校省级教学研究资助项目(20012080)；地球空间环境与大地测量教育部重点实验室开放研究基金资助项目(040108)

摘要: 运用投影理论和基于向量空间中最小二乘平差原理,介绍了最小二乘谱分析方法,给出了最小二乘谱的计算公式。利用加拿大超导重力观测数据实例,讨论了最小二乘谱分析的策略和步骤。
- 最小二乘谱 /
- 超导重力仪 /
- 数据分析
Abstract: The principle of (least squares spectrum analysis, LSSA) is introduced in this paper based on the least squares parametric adjustment in vector space. A possible strategy is given for the analysis of time series obtained from the Canadian Superconducting Gravimeter Installation (CGSI), which exhibit minor gaps (unequally spaced), offsets, spikes (seismic events) and variable weights due to different noise levels.
- least squares spectrum /
- superconducting gravimeter /
- data analysis