同济大学学报（自然科学版）2013，Vol.41Issue(2)：282-288,7.DOI:10.3969/j.issn.0253-374x.2013.02.022
奇异谱分析在GPS站坐标监测序列分析中的应用
Application of Singular Spectral Analysis to GPS Station Coordinate Monitoring Series
摘要
Abstract
Singular spectrum analysis(SSA) was introduced to data processing of station coordinates, including treatment of missing values, identification and extraction of trends and cycles. Singular spectrum analysis,a statistical technique with reconstruction and empirical orthogonal function, could effectively extract trends and cycles from the limited scale of the time series with noise. Hence, SSA was applied to various time series analysis such as the process of GPS time series. Coordinate time series from crustal movement observation network of China GPS data services were used by SSA for treatment of missing values, and the mean square errors (MSE) of the interpolation in every direction were at millimeter degree, reconstruction and extraction of trend (N: -11.688 mm·a-1; E:29.585 mm · a-1; U:2. 557 mm · a-1) and cycle components (N:0. 5a, 1a; E: 1a; U:0. 25a, 0.5a, 1a, 1.5a). The results show that obvious trend, significant cycles and noise do exist in each direction of Beijing Fangshan Station (BJFS).关键词
奇异谱分析/坐标时间序列/趋势周期/降噪Key words
singular spectral analysis (SSA)/ coordinate series/ trend cycle/ noise reduction分类
天文与地球科学引用本文复制引用
王解先,连丽珍,沈云中..奇异谱分析在GPS站坐标监测序列分析中的应用[J].同济大学学报（自然科学版）,2013,41(2):282-288,7.基金项目
国家自然科学基金(41174023) （41174023）
