A model for converging tropospheric delay corrections

Authors

  • Ling Ling
  • Chenglin Cai

DOI:

https://doi.org/10.54097/hset.v56i.10800

Keywords:

tropospheric delay correction model, Saastamoinen model, EGNOS model, GPT2w model.

Abstract

In response to the current problem that tropo-spheric delay correction is constrained by the measured meteorological parameters, resulting in low efficiency and limited application, this paper proposes a GE-Sa fusion model combining GPT2w and EGNOS models. The algorithm provides high-precision meteorological data through GPT2w and EGNOS models, and uses the Saastamoinen model to achieve the zenith tropospheric delay (ZTD) correction, the ZTD series of 2017 from 20 stations acquired by the Global Geodetic Observing System (GGOS) Atmosphere product data were used as the standard approximation to calculate the bias and RMS values of the model respectively, and the experimental results showed that the accuracy of the GE-Sa model was higher than that of the EGNOS model, GPT2w+Saastamoinen model, and 68.12% and 16.33%, respectively. The model improves the accuracy of calculating ZTD and expands the scope of application while getting rid of the limitation of measured meteorological parameters.

Downloads

Download data is not yet available.

References

Li Zhenghang, Jinsong. GPS measurement principles and data process-ing [M]. Wuhan: Wuhan University Press, 2005.

Dong Dannan,Chen Junping,Wang Xiexian, GNSS high precision positioning principle [M]. Beijing: Science Press.

Yang L, Sui L-F. Correction of tropospheric propagation delay[J]. Journal of the Academy of Surveying and Mapping,2001(03):182-185.

Huang L.K., Liu L.L., Jiang W.P.. Theory and methods for modeling key tropospheric parameters with high accuracy [M]. Wuhan University Press, 2021.

Saastamoinen J. Atmospheric Correction for Troposphere and Stratosphere in Radio Ranging of Satellites[J]. Use of Artificial Satellites for Geodesy, 1972,15(6):247-251.

Yani Wei, Shaojun Zhu. Comparative analysis of the accuracy of two tropospheric delay correction models[J]. Geospatial Information, 2020,18(12):81-83+96+7.

Zhang Jingjing. Research on high precision tropospheric zenith wet delay model[J]. Survey and Mapping Science,2014,39(10):33-36.

Chen Ruiqiong, Liu Ya, Li Xiaohui. Analysis of tropospheric correction model in satellite navigation system[J]. Survey and Mapping Bulletin,2015(03):12-15+36. DOI:10.13474/j.cnki. 11-2246 . 2015.0064.

Huang LK, Liu LL, Wen HY ,et al. Single-station correction and accuracy analysis of EGNOS zenith tropospheric delay model for Asia[J]. Journal of Surveying and Mapping,2014,43(08):808-817.DOI:10.13485/j.cnki.11-2089. 2014.0126.

Du Xiaoyan, Qiao Jiang, Wei Pei Pei. A real-time correction model for tropospheric zenith delay for the Chinese region[J]. Journal of Electronics and Information,2019,41(01):156-164.

ZHAO Jing-yang, SHENG Shuang-shang. Progress of tropospheric zenith delay model research and its accuracy analysis in the Chinese region[J]. Advances in Geophysics,2018,33(01):148-155.

Nigel Penna, Alan Dodson and Wu Chen. Assessment of EGNOS Tropospheric Correction Model [J]. Nigel Penna and Others,54:37-55.

Liu Jingye, Song Yuanming, Hu Jiaxing. EGNOS tropospheric delay correction model and its accuracy analysis[D]. Geospatial Informa-tion,2011,9(2):96-98.

Kong J,Yao YB,Shan Lulu ,et al. Accuracy analysis of GPT2w model in Antarctic region[J]. Journal of Surveying and Mapping, 2018, 47(10):1316-1325.

Chen Fayuan,Wang Xinzhi,Jin Shuanggen.Accuracy analysis of GPT2w model in mainland China[J]. Journal of Nanjing University of Information Engineering (Natural Science Edition), 2021,13(02):145-153.DOI:10.13878/j.cnki.jnuist.2021.02.003.

Yang Wander, Yu G R, Pan Shu G .et al. An integrated tropospheric delay model algorithm[J]. Journal of Southeast University (Natural Science Edition),2013,43(S2):418-422.

Downloads

Published

14-07-2023

How to Cite

Ling, L., & Cai, C. (2023). A model for converging tropospheric delay corrections. Highlights in Science, Engineering and Technology, 56, 590-595. https://doi.org/10.54097/hset.v56i.10800