﻿ 区域CORS网观测数据实时对流层延迟建模
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 大地测量与地球动力学  2022, Vol. 42 Issue (6): 622-625  DOI: 10.14075/j.jgg.2022.06.013

引用本文

WANG Biaoji, HUANG Guoyong. Real Time Tropospheric Delay Modeling of Regional CORS Network Observation Data[J]. Journal of Geodesy and Geodynamics, 2022, 42(6): 622-625.

Foundation support

National Natural Science Foundation of China, No. 61663017.

Corresponding author

WANG Biaoji, postgraduate, majors in the GNSS data processing and positioning, E-mail: 745937631@qq.com.

第一作者简介

WANG Biaoji, postgraduate, majors in the GNSS data processing and positioning, E-mail: 745937631@qq.com.

文章历史

1. 昆明理工大学信息工程与自动化学院, 昆明市景明南路727号, 650504;
2. 昆明理工大学民航与航空学院, 昆明市景明南路727号, 650504

1 基于高程归算的克里金插值法建模 1.1 克里金插值算法

 $\hat Z\left( {{x_0}} \right) = \sum\limits_{i = 1}^n {{\lambda _i}} Z\left( {{x_i}} \right)$ (1)

1.2 基于高程归算的克里金插值建模

 ${\rm{ZT}}{{\rm{D}}_h} = {\rm{ZT}}{{\rm{D}}_{{h_1}}} \cdot {{\rm{e}}^{ - \frac{{h - {h_1}}}{\alpha }}}$ (2)

 ${\rm{ZT}}{{\rm{D}}_{{\rm{rover }}}} = \sum\limits_{i = 1}^n {{\lambda _i}} Z\left( {{L_i},{B_i}} \right) \cdot {{\rm{e}}^{ - \frac{{{H_i}}}{\alpha }}}$ (3)

2 区域ZTD建模 2.1 数据来源及处理

 图 1 香港CORS网测站分布 Fig. 1 Distribution of CORS network stations in Hong Kong

 图 2 天顶对流层延迟与测站高程拟合结果 Fig. 2 Fitting results of ZTD and station elevation
2.2 插值模型精度

 图 3 3种插值法在流动站插值结果对比 Fig. 3 Comparison of interpolation results of three interpolation methods in moving station

 图 4 3种模型插值残差分布 Fig. 4 Interpolation residual distribution of three models
2.3 建模测站数对模型精度的影响

3 结语

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Real Time Tropospheric Delay Modeling of Regional CORS Network Observation Data
WANG Biaoji1     HUANG Guoyong1,2
1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, 727 South-Jingming Road, Kunming 650504, China;
2. Faculty of Civil Aviation and Aeronautics, Kunming University of Science and Technology, 727 South-Jingming Road, Kunming 650504, China
Abstract: Aiming at the problem of low interpolation accuracy caused by the spatiotemporal characteristics of regional zenith tropospheric delay (ZTD) in real-time precision positioning, we propose a Kriging interpolation model based on elevation reduction. We use regional CORS network observation data to solve the ZTD value for modeling analysis. Compared with other existing methods, the model can improve interpolation accuracy. When fewer stations participate in modeling, the RMSE can still be kept below 10 mm, which provides a basis for regional real-time high-precision positioning.
Key words: ZTD; Kriging interpolation; GNSS; CORS