Ionospheric prediction of low latitude airport based on Beidou Navigation System

被引：0
|
作者：
Dong, Juebin [1 ]
Li, Xin [2 ]
Zhou, Peng [1 ]
Guo, Xiaoyun [1 ]
Li, Qingdong [2 ]
Li, Yuankai [2 ]
机构：
[1] Sanya Air Traff Management Stn Civil Aviat, Sanya, Hainan, Peoples R China
[2] CAAC, Res Inst 2, ATM Engn Technol Inst, Chengdu, Sichuan, Peoples R China
来源：
2021 3RD INTERNATIONAL CONFERENCE ON MACHINE LEARNING, BIG DATA AND BUSINESS INTELLIGENCE (MLBDBI 2021) | 2021年
关键词：
TEC; LightGBM; low latitude; GNSS;
D O I：
10.1109/MLBDBI54094.2021.00028
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Method of Ionospheric total electron content (TEC) forecasting at low latitude areas can help the aircraft which using Global Navigation Satellite System (GNSS) to provide rapid warning of ionospheric anomalies. In this paper, we are going to build a model for TEC forecasting. First, we collect the TEC data at low latitude airport. Then we propose a GBDT-based LightGBM model. The prediction results show that this model can well predict the trend of ionospheric VTECU numerical fluctuation, indicating that it is feasible to early warning ionospheric anomalies.
引用
收藏
页码：104 / 107
页数：4
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