地震学报2011，Vol.33Issue(2)：198-208,11.DOI:10.3969/j.issn.0253-3782.2011.02.007
GPS观测网络中共模分量的相关加权叠加滤波
Correlation weighted stacking filtering of common-mode component in GPS observation network
摘要
Abstract
Based on the correlation analysis of position time series for GPS stations, a spatial filtering method, correlation weighted stacking filtering, was put forward to remove common-mode component (CMC). This method uses correlation coefficients as weights in spatial filtering, and takes into account such factors as site distances and the whole level of correlation. There is no need for the assumption of spatial homogeneity as adopted by current filtering techniques. The method has been used to analyze the position time series of 310 GPS stations in the U S PBO (Plate Boundary Observatory) network, 33 sites in China and about 200 global GPS stations. The results show that there are obvious CMC of 200 km scale, and the common part of CMC for different stations decreases as the baseline distance increases. Near about 2000 km, the position residual time series of GPS sites are usually no longer correlated. Compared to the traditional regional stacking filtering, the correlation weighted stacking filtering can generally introduce 5％—20％ RMS (root mean square) residual improvement for small scale GPS networks. It can also extract CMC of individual spatial scale and separate single site anomalies, increasing our ability in detecting weak tectonic signals and searching for CMC origins.关键词
GPS/位置时间序列/共模分量/空间滤波/相关系数Key words
GPS/ position time series/ common-mode component / spatial filtering/ correlation coefficient分类
天文与地球科学引用本文复制引用
田云锋,沈正康..GPS观测网络中共模分量的相关加权叠加滤波[J].地震学报,2011,33(2):198-208,11.基金项目
中国地震局地壳应力研究所所长基金(ZDJ2009-01)、地震行业科研专项(200708002)、国家重点基础研究发展计划(2004CB418403)和科技部重点实验室项目(LED2008A05)资助. （ZDJ2009-01）
