| 中国大陆GPS连续站时间序列噪声分析 |
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| 引用本文： | 郑博文,杜向峰,詹松辉,吴希文,王华. 中国大陆GPS连续站时间序列噪声分析[J]. 广东工业大学学报, 2022, 39(3): 70-76,82. DOI: 10.12052/gdutxb.210081 |
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| 作者姓名： | 郑博文 杜向峰 詹松辉 吴希文 王华 |
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| 作者单位： | 1. 广东工业大学 土木与交通工程学院, 广东 广州 510006;2. 广东工贸职业技术学院 测绘遥感信息学院, 广东 广州 510510 |
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| 基金项目： | 国家重点研发计划;国家自然科学基金;中国地震科学试验场专项资助项目 |
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| 摘 要： | GPS位置时间序列中不仅存在白噪声，还存在大量的闪烁噪声。如果只使用纯白噪声的协方差矩阵来估计速度，速度的不确定性会被严重低估。利用频谱分析和极大似然估计的方法对中国大陆地壳运动观测网络的264个GPS连续站长达20 a的GPS坐标时间序列进行了噪声分析，并计算出每个测站速度的不确定性。结果表明东、北及垂直方向上呈现了不同的噪声特性。频谱分析估计的光谱指数高于极大似然估计的指数，但均在−1附近，表明主要的噪声模型是白噪声加闪烁噪声。使用不同的噪声模型计算的速度不确定性存在较大差异，在东、北及垂直方向上，最优噪声模型计算的速度不确定性分别是只使用白噪声模型的(11.5±2.1)倍、(12.9±2.9)倍和(14.8±3.7)倍。利用极大似然估计方法与FOGMEx方法所计算的速度差距不大，在东、北及垂直方向上，利用极大似然估计方法所计算的速度不确定性分别是FOGMEx方法的(2.8±1.5)倍、(1.5±0.7)倍和(3.5±2.8)倍。
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| 关 键 词： | GPS 时间序列 噪声模型 闪烁噪声 |
| 收稿时间： | 2021-05-28 |
Noise Analysis of Continuous GPS Time Series in China Continent |
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| Zheng Bo-wen,Du Xiang-feng,Zhan Song-hui,Ng Alex Hay-Man,Wang Hua. Noise Analysis of Continuous GPS Time Series in China Continent[J]. Journal of Guangdong University of Technology, 2022, 39(3): 70-76,82. DOI: 10.12052/gdutxb.210081 |
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| Authors: | Zheng Bo-wen Du Xiang-feng Zhan Song-hui Ng Alex Hay-Man Wang Hua |
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| Affiliation: | 1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China;2. School of Surveying and Remote Sensing Information Engineering, Guangdong College of Industry and Commerce, Guangzhou 510510, China |
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| Abstract: | There is not only white noise in GPS position time series, but also a lot of flicker noise. If only the covariance matrix of pure white noise is used to estimate the velocity, the velocity accuracy will be seriously overestimated. Spectrum analysis and maximum likelihood estimation methods are used to analyze the 20-year GPS coordinate time series of 264 GPS continuous stations of the Chinese Continental Crustal Movement Observation Network, and the velocity accuracy of each station calculated. The results show that there are different noise characteristics in E, N and U directions. The spectral exponents estimated by spectral analysis are higher than those estimated by maximum likelihood, but they are all around −1, which indicates that the main noise model is white noise plus flicker noise. The velocity accuracy calculated by different noise models is quite different. In the east, the north, and the vertical directions, the velocity accuracy calculated by the optimal noise model is, respectively, (11.5±2.1), (12.9±2.9), and (14.8±3.7) times that of the white noise model only. The velocity between maximum likelihood estimation method and FOGMEx method is not very different. In the east, the north, and the vertical directions, the velocity accuracy calculated by the maximum likelihood estimation method is (2.8±1.5), (1.5±0.7), and (3.5±2.8) times that of the FOGMEx method, respectively. |
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| Keywords: | GPS time series noise model flicker noise |
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