摘要
采用功率谱分析和主成分分析的方法对GPS坐标时间序列的周期性变化进行了探讨,对IGS站的部分时段的观测资料进行了处理,分析了台站时间序列潜在的周期性质。证实了异常周期项(1.04 cpy)的存在,对探测出的异常周期信号分别从构造信号、共模误差、地表质量负荷等影响因子展开讨论,分析其来源及影响机制。结果表明,上述影响因素未能对异常周期信号做出合理解释,该异常信号与GPS观测技术本身,即未模型化的GPS系统误差相关。对其影响因素做了初步探讨,为进一步建立相应的误差改正模型,增强GPS观测技术的稳健性提供了一些参考。
Power spectral analysis and principal component analysis were used to explore periodical singal variation on GPS time series. Six years ' observations of IGS stations were analyzed to explore the potential period variation of the time series. The presence of abnormal periodic terms in GPS time series were. With the detected abnormal periodic signals, dis- cussion was separately on tectonic signal, common-mode er- ror, surface mass load and other factors, with its origin and influence mechanisms analyzed. The results show that the above-mentioned factors can not make a reasonable explanation.The abnormal signal is relevant to GPS technology itself, which is the unmodeled GPS system error. A preliminary study has been made on its influence factors, which will contribute some reference to the further establish the error correction model, enhance the robustness of GPS solution techniques pro- vide some reference.
出处
《测绘地理信息》
2014年第2期22-26,共5页
Journal of Geomatics
基金
国家自然科学基金资助项目(41374007
41174010
41374011)
博士后科学基金资助项目(2012M511962)
关键词
GPS时间序列
异常周期信号
功率谱分析
主成分分析
影响机制
GPS time series
anomalous period
power spectral analysis
principal component analysis
influence mechanism