Ionospheric prediction of low latitude airport based on Beidou Navigation System

IF 2.6 4区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Big Data Pub Date : 2021-12-01 DOI:10.1109/MLBDBI54094.2021.00028

Juebin Dong, Xin Li, P. Zhou, Xiaoyun Guo, Qingdong Li, Yuankai Li

引用次数: 0

Abstract

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.

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基于北斗导航系统的低纬度机场电离层预报

低纬度地区电离层总电子含量(TEC)预报方法可以帮助使用全球导航卫星系统(GNSS)的飞机对电离层异常进行快速预警。在本文中，我们将建立一个TEC预测模型。首先，我们收集低纬度机场的TEC数据。然后，我们提出了一个基于gbdt的LightGBM模型。预测结果表明，该模型能较好地预测电离层VTECU数值波动趋势，表明该模型对电离层异常进行预警是可行的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Big Data COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

9.10

自引率

2.20%

发文量

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