Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

The research on grid ionospheric delay algorithm of BDSBAS

Authors
Geng Yu, Mo Peng
Corresponding Author
Geng Yu
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.23How to use a DOI?
Keywords
BD navigation system; Satellite-Based Augmentation System (SBAS); Lonospheric error; Grid ionospheric delay algorithm.
Abstract

With the development of BD navigation system, it is pressing to develop Satellite-Based Augmentation System of BD system. Based on the observation data on March 20, 2016 of 10 GNSS reference stations from Cmonoc, the paper verifies the accuracy of grid ionospheric correction algorithm of BDSBAS in part of stations in China. The paper compares grid ionospheric model with Klobuchar model, and tests the error of grid ionospheric vertical delay GIVE. The results show that correction effect of grid ionospheric model is superior to that of Klobuchar model and the correction error is in a normal range, so it is workable to apply BD grid ionospheric model in the area of China.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.23How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Geng Yu
AU  - Mo Peng
PY  - 2016/11
DA  - 2016/11
TI  - The research on grid ionospheric delay algorithm of BDSBAS
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 128
EP  - 134
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.23
DO  - https://doi.org/10.2991/aiea-16.2016.23
ID  - Yu2016/11
ER  -