基于电离层风暴数据摄取的电离层校正算法评价

2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE) Pub Date : 2021-12-01 DOI:10.1109/ISAPE54070.2021.9752888

Liang Chen, Weiquan Huang, W. Zhen, Ming Ou, Dun Liu, Jiayan Wu, Yuhang Zhang

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引用次数: 0

摘要

提出了一种基于数据摄取的电离层校正算法，该算法通过GNSS TEC对模型的驱动参数进行更新来实现。通过对比2012年7月14日至7月19日逐日垂直TEC数据驱动模式和逐日15min垂直TEC数据驱动模式计算的观测结果和模式结果，对电离层校正算法进行评价。评价结果表明，电离层风暴期间，基于前15分钟垂直TEC的驱动模式的平均RMS为3.2 TECU，远小于基于前一天垂直TEC的驱动模式的平均RMS为14.1 TECU。因此，应采用更高的电离层驱动参数更新率来校正电离层风暴期间的电离层延迟。

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Assessment of Ionospheric Correction Algorithm Based on Data Ingestion during Ionospheric Storm

This paper presents an ionospheric correction algorithm based on data ingestion, which is realized by updating the driving parameters of the model with GNSS TEC. The ionospheric correction algorithm is evaluated by comparison between observation results and model results which are calculated based on the previous day vertical TEC data-driven model and the previous 15min vertical TEC data-driven model from July 14th to July 19th, 2012. The evaluation results show that during the ionospheric storm, the average RMS of the driving model based on the vertical TEC of the previous 15 minutes is 3.2 TECU, which is much smaller than that of the driving model based on the vertical TEC of the previous day, which is 14.1 TECU. Therefore, a higher update rate of ionospheric driving parameters should be used to correct the ionosphere delay during ionospheric storm.

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来源期刊

2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE)

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