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Effects of Equatorial Plasma Bubbles on Multi-GNSS Signals: A Case Study over South China

Authors :
Hao Han
Jiahao Zhong
Yongqiang Hao
Ningbo Wang
Xin Wan
Fuqing Huang
Qiaoling Li
Xingyan Song
Jiawen Chen
Kang Wang
Yanyan Tang
Zhuoliang Ou
Wenyu Du
Source :
Remote Sensing, Vol 16, Iss 8, p 1358 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Equatorial plasma bubbles (EPBs) occur frequently in low-latitude areas and have a non-negligible impact on navigation satellite signals. To systematically analyze the effects of a single EPB event on multi-frequency signals of GPS, Galileo, GLONASS, and BDS, all-sky airglow images over South China are jointly used to visually determine the EPB structure and depletion degree. The results reveal that scintillations, or GNSS signal fluctuations, are directly linked to EPBs and that the intensity of scintillation is positively correlated with the airglow depletion intensity. The center of the airglow depletion often corresponds to stronger GNSS scintillation, while the edge of the bubble, which is considered to have the largest density gradient, corresponds to relatively smaller scintillation instead. This work also systematically analyzes the responses of multi-constellation and multi-frequency signals to EPBs. The results show that the L2 and L5 frequencies are more susceptible than the L1 frequency is. For different constellations, Galileo’s signal has the best tracking stability during an EPB event compared with GPS, GLONASS, and BDS. The results provide a reference for dual-frequency signal selection in precise positioning or TEC calculation, that is, L1C and L2L for GPS, L1C and L5Q for Galileo, L1P and L2C for GLONASS, and L1P and L5P for BDS. Notably, BDS-2 is significantly weaker than BDS-3. And inclined geosynchronous orbit (IGSO) satellites have abnormal data error rates, which should be related to the special signal path trajectory of the IGSO satellite.

Details

Language :
English
ISSN :
16081358 and 20724292
Volume :
16
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.bdc33a8b8d04bf099876dcdd6e12330
Document Type :
article
Full Text :
https://doi.org/10.3390/rs16081358