陆态网络GPS速度场噪声模型分析

龚一航; 郑博文; 王华; 吴希文

doi:10.12052/gdutxb.230081

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

陆态网络GPS速度场噪声模型分析

测绘科学与技术 | 更新时间：2026-05-27

- 陆态网络GPS速度场噪声模型分析
- An Analysis of Noise Model in Land-based Network GPS Velocity Field
- 广东工业大学学报 2025年42卷第2期页码：97-102
- 作者机构：
  
  广东工业大学土木与交通工程学院,广东,广州,510006
- 作者简介：
  
  龚一航(1999–)，男，硕士研究生，主要研究方向为GPS数据处理，E-mail：13973939818@163.com
  王华(1978–)，男，教授，博士，主要研究方向为大陆形变与地震周期，E-mail：ehwang@163.com
- 基金信息：
  
  国家重点研发计划项目(2017YFC1500501);国家自然科学基金资助项目(42274001)
- DOI：10.12052/gdutxb.230081
  中图分类号： P223
- 纸质出版：2025
- 稿件说明：
移动端阅览
龚一航, 郑博文, 王华, 等. 陆态网络GPS速度场噪声模型分析[J]. 广东工业大学学报, 2025, 42(2): 97–102.

Gong Yihang, Zheng Bowen, Wang Hua, et al. An Analysis of Noise Model in Land-based Network GPS Velocity Field[J]. 2025, 42(2): 97-102.
龚一航, 郑博文, 王华, 等. 陆态网络GPS速度场噪声模型分析[J]. 广东工业大学学报, 2025, 42(2): 97–102. DOI： 10.12052/gdutxb.230081

Gong Yihang, Zheng Bowen, Wang Hua, et al. An Analysis of Noise Model in Land-based Network GPS Velocity Field[J]. 2025, 42(2): 97-102. DOI： 10.12052/gdutxb.230081.

摘要

GPS观测会受到外界因素影响，导致其时间序列中含有各类噪声，需要采用合适的噪声模型来估计其速度精度。本文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259个GPS连续站的时间序列进行了最优噪声模型分析。通过频谱分析法，认为“中国地壳运动观测网络”(CMONOC-I/II，简称“陆态网络”)连续站主要的噪声模型为白噪声加闪烁噪声。利用最优噪声模型与使用FOGMEx模型所计算的速度差距不大，速度不确定性分别是FOGMEx模型的(1.5±0.7)倍(E)、(1.0±0.5)倍(N)、(1.8±1.1)倍(U)。从每年的连续站数据中抽取连续3 d的观测数据作为模拟流动站，使用原连续站的协方差矩阵和降低自由度法分别估计模拟流动站的速度不确定性，两者之比分别为0.8±0.2(E)、1.0±0.2(N)、0.9±0.2(U)，速度则无明显差异。由此，对于中国大陆占绝大多数的真实流动站，本文建议采用降低自由度(即假定流动站观测值个数为观测年数)来估计其不确定度。

Abstract

GPS observations are influenced by external factors

resulting in various types of noise in their time series. It is necessary to use appropriate noise model to estimate the station’s velocity accuracy. Spectral analysis method and maximum likelihood estimation method are used to perform optimal noise model analysis on the time series of 259 GPS continuous stations in the China Continental Crustal Movement Observation Network. Three consecutive days of observation data are extracted from the annual continuous station data as simulated campaign stations. The main noise models of the continuous stations of China Crustal Movement Observation Network of China are white noise plus flicker noise resulted from spectral analysis method. The difference in velocity calculated using the optimal noise model and the FOGMEx model is not significant

and the speed uncertainty is 1.5 ± 0.7 times (E)

1.0 ± 0.5 times (N)

and 1.8 ± 1.1 times (U) of the FOGMEx model

respectively. For the simulated campaign station

the velocity uncertainty obtained from the original continuous station covariance matrix is 0.8 ± 0.2 times (E)

1.0 ± 0.2 times (N)

and 0.9 ± 0.2 times (U)

respectively

compared with the velocity uncertainty estimated by the noise model established by reducing its degree of freedom and there is no significant difference in velocity. Therefore

for the majority of real campaign stations in China’s mainland

reducing the degrees of freedom (i.e.

assuming the number of observed values at campaign stations equals the number of years of observation) is suggested to estimate their uncertainty.

关键词

Keywords

references

TEFERLE F N, WILLIAMS S D P, KIERULF H P, et al . A continuous GPS coordinate time series analysis strategy for high-accuracy vertical land movements [J ] . Physics and Chemistry of the Earth, Parts A/B/C, 2008, 33(3-4): 205-216.

SERPELLONI E, CASULA G, GALVANI A, et al . Data analysis of permanent GPS networks in Italy and surrounding regions: application of a distributed processing approach [J ] . Annals of Geophysics, 2006, 49(4): 897-928.

ZHENG G, WANG H, WRIGHT T J, et al . Crustal deformation in the india-eurasia collision zone from 25 years of GPS measurements [J ] . Journal of Geophysical Research: Solid Earth, 2017, 122(11): 9290-9312.

WANG M, SHEN Z K. Present-day crustal deformation of continental China derived from GPS and its tectonic implications [J]. Journal of Geophysical Research:Solid Earth, 2020, 125(2): 1-22.

GANG W J, LI Q, ZHANG R, et al . Construction and application of tectonic and environmental observation network of mainland China[J ] . Journal of Engineering Studies, 2012, 4(4) : 324-331.

LIU J N, GE M R. PANDA software and its preliminary result of positioning and orbit determination[J]. Wuhan University Journal of Natural Sciences, 2003, 8(2) : 603-609.

BOS M S, FERNANDES R M S, WILLIAMS S D P, et al . Fast error analysis of continuous GNSS observations with missing data [J ] . Journal of Geodesy, 2013, 87(4): 351-360.

ALOTHMAN A O, FERNANDES R M, BOS M S, et al . Angular velocity of Arabian plate from multi-year analysis of GNSS data [J ] . Arabian Journal of Geosciences, 2016, 9(8): 520-529.

ZHANG J, BOCK Y, JOHNSON H, et al . Southern California permanent GPS geodetic array: error analysis of daily position estimates and site velocities [J ] . Journal of Geophysical Research:Solid Earth, 1997, 102(B8): 18035-18055.

MAO A, HARRISON C G A, DIXON T H. Noise in GPS coordinate time series [J]. Journal of Geophysical Research:Solid Earth, 1999, 104(B2): 2797-2816.

WILLIAMS S D P. The effect of coloured noise on the uncertainties of rates estimated from geodetic time series [J]. Journal of Geodesy, 2003, 76(9-10): 483-494.

WILLIAMS S D P. Error analysis of continuous GPS position time series [J]. Journal of Geophysical Research, 2004, 109(B3): 483-494.

WANG W, QIAO X, WANG D, et al . Spatiotemporal noise in GPS position time-series from crustal movement observation network of China [J ] . Geophysical Journal International, 2019, 216(3): 1560-1577.

ZHENG B W, DU X F, ZHAN S H, et al. Noise analysis of continuous GPS time series in China continent[J ] . Journal of Guangdong University of Technology, 2022, 39(3) : 70-76.

YANG D K, DENG L S, AN X D, et al. Optimal noise models for coordinate time series of IGS reference station[J ] . Journal of Geomatics, 2016, 41(1) : 7-10.

HERRING T. MATLAB tools for viewing GPS velocities and time series [J]. GPS Solutions, 2003, 7(3): 194-199.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

中国大陆GPS连续站时间序列噪声分析

基于高效时序建模的RGB-T跟踪

基于PSI技术的福州市地面形变监测与影响因素分析

具守恒量波动方程的循环双子网物理信息神经网络

人工噪声辅助无人机太赫兹安全通信的鲁棒设计