PANGA坐标时间序列噪声模型特性分析

贺小星; 孙喜文

doi:doi:10.13442/j.gnss.1008-9268.2018.06.012

PANGA坐标时间序列噪声模型特性分析

doi: doi:10.13442/j.gnss.1008-9268.2018.06.012

贺小星^1,2,
孙喜文^1,

1.
华东交通大学土木建筑学院,江西南昌 330013
2.
武汉大学测绘学院,湖北武汉 430079

详细信息

作者简介:
贺小星 (1986-),男,博士,讲师,主要研究方向为GNSS坐标时间序列分析理论与方法.

通讯作者:
孙喜文 E-mail:1014798227@qq.com

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- 被引次数: 0
出版历程
- 刊出日期: 2018-12-15

Noise Analysis of PANGA Coordinate Time Series

HE Xiaoxing^1,2,
SUN Xiwen^1
,

1.
School of Civil Engineering and Architecture, East China Jiaotong University,Nanchang 330013, China
2.
School of Geodesy and Geomatics, Wuhan University,Wuhan 430079, China

摘要

摘要: 选取PANGA观测网中的200个GPS基准站12年的坐标序列. 采用AIC模型估计准则噪声特性进行分析,并结合不同数据策略对噪声模型建立的影响进行探讨. 结果表明:不同数据策略对噪声模型建立的影响较小,基准站站坐标序列噪声模型主要表现为PL+WN噪声模型特性;不同随机模型对GPS站速度估计值的影响相对较小,但在U分量影响最为明显;对比不同策略处理下的周年振幅变化,E、N、U方向振幅值存在差异,最终确定了振幅位移的尺度.
- PANGA /
- 数据处理策略 /
- 时间序列分析 /
- 噪声模型估计 /
- 周年变化影响分析
Abstract: A 12-year coordinate sequence of 200 GPS reference stations in the PANGA observation network was selected. The AIC model used to estimate the noise characteristics of the criterion, and the effects of different data strategies on the establishment of the noise model are discussed. The results show that different data strategies have less influence on the establishment of noise model. The noise model of the base station coordinate sequence is mainly characterized by the PL+WN noise model. The influence of different stochastic models on the GPS station speed estimation is relatively small, but in U. The component influence is the most obvious; compared with the annual amplitude change under different strategies, the amplitude values in the E, N, and U directions are different, and the scale of the amplitude displacement is finally determined.
- PANGA /
- data processing strategy /
- time series analysis /
- noise model estimation /
- annual change impact analysis

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参考文献(14)

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