| Issue |
E3S Web Conf.
Volume 131, 2019
2nd International Conference on Biofilms (ChinaBiofilms 2019)
|
|
|---|---|---|
| Article Number | 01075 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/201913101075 | |
| Published online | 19 November 2019 | |
Long-term Performance Evaluation for Ionospheric Delay Correction of BeiDou Navigation Satellite System
1
Beijing Satellite Navigation Center, Beijing, 100094, China
2
Satellite Environment Center, Ministry of Environmental Protection, Beijing, 100094, China
* Corresponding author’s e-mail: 791387368@qq.com
Ionospheric delay is one of the main errors in the satellite navigation and positioning system. At present, ionospheric delay correction model and grid ionospheric information are provided to correct the error in BeiDou Navigation Satellite System (BDS). The ionospheric delay correction model is the Klobuchar model with 8 parameters at the geographic latitude for basic navigation. Grid ionospheric information is the ionospheric grid map covering China region for enhanced services. The dual-frequency pseudo-range combination data and ionospheric data from 2013 to 2018 have been used to make comprehensive assessments of the correction performance of BDS Klobuchar model and ionospheric grid information. The average correction rate of ionospheric grid information is about 85%, and the average correction rate of BDS Klobuchar model is about 73%. The correction accuracy of BDS Klobuchar model varies little, and the ionospheric grid information has a single-peak structure. The correction accuracy in summer and autumn is slightly higher than that in winter and spring. Changes in solar activity have a greater impact on BDS Klobuchar model correction bias. Ionospheric grid information owns relatively strong anti-disturbance ability, and BDS Klobuchar model also has a definite anti-disturbance capability compared with the GPS Klobuchar model.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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