Saastamoinen and Marini-Murray's Study of the Tropospheric Delay Model in Shijiazhuang
DOI:
https://doi.org/10.54097/338kte19Keywords:
GNSS positioning error, Tropospheric delay, Delay correction model, Mapping function model.Abstract
In addition to the non-dispertic medium, the tropospheric medium changes with time, and it is difficult to use a simple and unified mathematical model to determine the degree of change, especially in the long baseline relative positioning, the tropospheric delay between two stations often shows a weak spatial correlation. In this paper, this study will briefly introduce the main methods to reduce or eliminate various kinds of errors in order to build a real-time tropospheric delay model. The main body of this paper is to introduce and discuss the existing direct calculation model and mapping function of tropospheric delay. Based on the meteorological data of Shijiazhuang meteorological station provided by the official website of China Meteorological Administration, the appropriate tropospheric delay correction model and projection function (Saastamoinen +Marini-Murray model) are selected. The hourly tropospheric delay correction model along the propagation path direction in Shijiazhuang city on April 1, 2023 is established, and the accuracy and reliability of the model are analyzed.
Downloads
References
GE Haibo, Li Bofeng. Discussion on the teaching method of Satellite positioning course under the new situation of navigation satellites-- Taking the Principle and Application of Satellite Navigation Positioning Course of Tongji University as an example [J]. Journal of Higher Education, 2019,10(01): 18-21. DOI:10.19980/j.CN23-1593/G4.2024.01.004.
Yang Le, Yu Yang, Li Yao. Satellite differential navigation and positioning Technology and error analysis [J]. Technology & Market, 2019,27(07): 92-93. (In Chinese)
Shen X. Research on single-station tropospheric skew delay model serving deep space monitoring stations in China [D]. Southeast university, 2022. DOI: 10.27014 /, dc nki. Gdnau. 2022.000693.
Jin Biao, Li Rui, Wang Dun et al. Star single frequency service base to enhance system performance evaluation method research [J/OL]. Journal of Beijing university of aeronautics and astronautics, 1-18 [2024-01-17] HTTP: / / https://doi.org/10.13700/j.bh.1001-5965.2022.0785.
Zou Chongyao, Liang Bin, LI Fangting et al. Analysis and application of tropospheric delay correction model based on CORS in mountain disaster monitoring [J]. Geospatial Information, 2019,21(12):100-102.
Wei Tong, YAN Weidong, Ma Jian. Effect of higher ionosphere on GNSS tropospheric parameter estimation [J]. Global Positioning System,2023,48(01): 83-97. (In Chinese)
Huang Xiao-Bin, ZHANG Yan, XIAO Rui et al. Analysis and engineering implementation of Earth gravitational Acceleration for space target [J]. Surveying, Mapping and Spatial Geographic Information, 2019, 44(09): 9-11+21. (In Chinese)
Li Qi, Wang Wei, Qiu Baoxian, et al. Geomagnetic field model and its application in the field of aerospace [J]. Journal of tianjin science and technology, 2023, 50 (5): 64-66 + 73. DOI: 10.14099/j.carol carroll nki TJKJ. 2023.05.001.
Shuaimin Wang. Intercomparison of Total Precipitable Water Derived from COSMIC-2 and Three Different Microwave Radiometers over the Ocean [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022.3160020.
Lou Yidong, Zhou Yaozong, Zhang Weixing, et al. Research review on precise water vapor treatment and application of BDS/GNSS on foundation [J]. Geomatics Information of Surveying and Mapping, 2022, 47(05): 1-11. DOI:10.14188/J.2095-6045.2022712.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







