| GPS时间序列中异常周期信号影响机制分析 |
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| 引用本文： | 贺小星,花向红,周世健.GPS时间序列中异常周期信号影响机制分析[J].测绘信息与工程,2014(2):22-26. |
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| 作者姓名： | 贺小星 花向红 周世健 |
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| 作者单位： | 武汉大学测绘学院;武汉大学灾害监测与防治研究中心;东华理工大学测绘工程学院;江西省科学院; |
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| 基金项目： | 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) |
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| 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（1．04cpy）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。
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| 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 |
The Effects Mechanism of Anomalous Period Signal in GPS Time Series |
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| HE Xiaoxing,HUA Xianghong,ZHOU Shijian.The Effects Mechanism of Anomalous Period Signal in GPS Time Series[J].Journal of Geomatics,2014(2):22-26. |
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| Authors: | HE Xiaoxing HUA Xianghong ZHOU Shijian |
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| Institution: | 1 School of Geodesy and Geomaties, Wnhan University ; 2 Research Center of Hazard Monitoring and Prevenlion, Wuhan University, 129 Luoyu Road, Wuhan 430079, China 3 Faculty of Geomatics, East Chitin Institute of Technology, 418 Guanglau -Avenue, Nauehang 330013, China ; 4 Jiangxi Academy of Sciences, 7777 Changdong Avenue, Nanchang 330029, China) |
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| Abstract: | 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. |
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| Keywords: | GPS time series anomalous period power spectral analysis principal component analysis influence mechanism |
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