Accuracy enhancement of high-rate GNSS positions using a complete ensemble empirical mode decomposition-based multiscale multiway PCA
文献类型：期刊论文
| 作者 | Li, Yanyan; Chen, Chuanfa; Fang, Rongxin; Yi, Lei
|
| 刊名 | JOURNAL OF ASIAN EARTH SCIENCES
 |
| 出版日期 | 2019-01 |
| 卷号 | 169页码:67-78 |
| ISSN号 | 1367-9120 |
| DOI | 10.1016/j.jseaes.2018.07.025 |
| 英文摘要 | In order to improve the possibility of correct interpretation of some geophysical phenomena such seismology, it is important to reduce systematic errors such as common mode error (CME) and multipath errors, and to improve the accuracy of high-rate (1-5 Hz) displacements. This paper focuses on accuracy enhancement and noise assessment of high-rate Global Navigation Satellite System (GNSS) position time series of regional network of GNSS stations. Complete ensemble empirical mode decomposition-based multiscale multiway principal component analysis (C-MSMPCA) denoising method is introduced to denoise the high-rate (1-5 Hz) GNSS position time series, whose performance was compared with those of modified sidereal filtering (MSF), stacking filtering, PCA and the recently developed multiscale multiway PCA (MSMPCA). It turns out that C-MSMPCA can significantly eliminate the high-frequency random noise and remove the low-frequency CME, and other systematic errors such as multipath errors. Furthermore, for denoising high-rate GNSS time series, C-MSMPCA is more precise than the other denoising methods. Irrespective of sampling rates and data processing strategies, C-MSMPCA can respectively reach the accuracy of submillimeter- and millimeter-levels on the horizontal and vertical components of high-rate GNSS displacements. Spectral analysis on the 1 Hz coordinate time series from the Sichuan GNSS Continuous Observing Network of China suggests that Gauss-Markov process is an adequate noise model for the noise characteristics of the filtered GNSS data using MSMPCA and C-MSMPCA. The CME magnitudes of MSMPCA are 2.61, 2.55, and 6.72 mm (east, north, and vertical), and those of C-MSMPCA are 2.69, 2.80, and 7.80 mm, respectively. |
| 源URL | [http://ir.isl.ac.cn/handle/363002/34007]  |
| 专题 | 青海盐湖研究所_盐湖地质与环境实验室 中国科学院青海盐湖研究所 |
| 推荐引用方式 GB/T 7714 | Li, Yanyan,Chen, Chuanfa,Fang, Rongxin,et al. Accuracy enhancement of high-rate GNSS positions using a complete ensemble empirical mode decomposition-based multiscale multiway PCA[J]. JOURNAL OF ASIAN EARTH SCIENCES,2019,169:67-78. |
| APA | Li, Yanyan,Chen, Chuanfa,Fang, Rongxin,&Yi, Lei.(2019).Accuracy enhancement of high-rate GNSS positions using a complete ensemble empirical mode decomposition-based multiscale multiway PCA.JOURNAL OF ASIAN EARTH SCIENCES,169,67-78. |
| MLA | Li, Yanyan,et al."Accuracy enhancement of high-rate GNSS positions using a complete ensemble empirical mode decomposition-based multiscale multiway PCA".JOURNAL OF ASIAN EARTH SCIENCES 169(2019):67-78. |
入库方式： OAI收割
来源：青海盐湖研究所
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