一种联合地基GNSS和测高仪数据的电离层层析成像新算法

欧明; 吴家燕; 陈龙江; 甄卫民; 吕梦海

doi:10.12265/j.cjors.2021213

一种联合地基GNSS和测高仪数据的电离层层析成像新算法

doi: 10.12265/j.cjors.2021213

1.
中国电波传播研究所
2.
中电科(青岛)电波技术有限公司

基金项目: 国家重点研发计划（2018YFF01013700, 2018YFF01013703）；技术基础预研项目（315030409）；中国电波传播研究所稳定支持科研经费资助（A131902W03）

详细信息

作者简介:
欧明：（1984—），男，江西人，中国电波传播研究所高级工程师，主要研究方向为电离层探测、层析成像及同化建模技术

吴家燕：（1995—)，女，江苏人，中国电波传播研究所助理工程师，主要研究方向为GNSS电离层探测与电离层CT技术

陈龙江：（1995—），男，江西人，中国电波传播研究所助理工程师，主要研究方向为电离层重构与建模方法

甄卫民：（1963—），男，河北人，中国电波传播研究所研究员，博士生导师. 现任中国GPS协会理事，中国空间学会空间物理专业委员会委员，《全球定位系统》杂志编委等. 主要从事空间环境、电磁环境和导航领域的研究

通讯作者:
欧明 E-mail: ohm1122@163.com

中图分类号: P352.7
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出版历程
- 收稿日期: 2021-08-10
- 录用日期: 2021-11-24
- 网络出版日期: 2021-11-24

A new hybrid ionospheric tomography algorithm by combining ground-based GNSS and ionosonde data

1.
China Research Institute of Radiowave Propagation, Qingdao 266107, China
2.
CETC( Qingdao) Radiowave Technology Co., Ltd., Qingdao 266107, China

摘要

摘要: 电离层层析成像(computerized tomography, CT)技术是获取区域大范围电离层三维结构非常重要的手段之一. 针对单独使用地基GNSS进行电离层三维层析成像的不足，提出了一种联合地基GNSS和测高仪数据的电离层三维层析成像方法，综合了测高仪探测电离层垂直分辨率较高和地基GNSS电离层CT水平分辨率较高的优点，以测高仪数据驱动更新IRI模型，将更新后的IRI模型作为背景电离层模型，再利用改进的ART算法结合地基GNSS TEC进行CT；基于IGS、中国陆态网地基GNSS台站及GIRO测高仪数据实现了中国及周边区域电离层三维CT. 分别采用Madrigal TEC数据和中国区域独立的测高仪数据对CT结果获取的TEC和电子密度进行评估. TEC精度评估结果表明，CT算法的TEC平均误差和标准差相比，IRI模型及CODE GIM数据均有明显降低；而电子密度评估结果表明，单纯依赖地基GNSS进行电离层CT可以提升f_oF₂的精度但无法有效提升h_mF₂的精度；联合测高仪数据后，电离层f_oF₂和h_mF₂的重构精度均有明显提升，其中h_mF₂的平均误差和标准差从20.6 km和16.5 km下降为14.8 km和11.7 km，说明测高仪数据对电离层CT垂直分辨率的提升作用明显.
- 电离层层析成像(CT) /
- GNSS /
- 测高仪 /
- 电子密度 /
- TEC /
- h_mF₂
Abstract: Computerized ionospheric tomography(CIT) is one of the most important means to obtain the three-dimensional structure of the ionosphere in a wide range of regions. In view of the deficiency of using ground-based GNSS for ionospheric 3D tomography alone, a new hybrid ionospheric tomography algorithm by combining ground-based GNSS and ionosonde data is proposed. The algorithm combines the advantages of high vertical resolution of ionosphere detected by ionosonde and high horizontal resolution of ground-based GNSS ionosphere CT. The updated IRI model by ionosonde data is used as the background ionospheric model, and then the improved ART algorithm combined with ground-based GNSS TEC is used for tomography. Based on the data of IGS, the crustal movement observation network of China (CMONOC) and GIRO ionosonde, the three-dimensional ionospheric tomography of China and its surrounding areas is realized. Madrigal TEC data and independent ionosonde data in China are used to evaluate the TEC and electron density obtained by tomography. The results of TEC accuracy evaluation show that the TEC average error and standard deviation of CIT algorithm are significantly lower than those of IRI model and CODE GIM data. The electron density evaluation results show that only relying on the ground-based GNSS for CIT can improve the accuracy of f_oF₂ but can not effectively improve the accuracy of h_mF₂; after combining the ionosonde data, the reconstruction accuracy of ionospheric f_oF₂ and h_mF₂ is significantly improved, in which the average error and standard deviation of hmF2 decreases from 20.6 km and 16.5 km to 14.8 km and 11.7 km, and the ionosonde data play a significant role in improving the vertical resolution of CIT.
- computerize ionospheric tomography /
- GNSS /
- ionosonde /
- TEC /
- h_mF₂ /

HTML全文

图 1 电离层CT使用的地基GNSS台站（红色方框）和精度评估用的测高仪台站（蓝色三角）分布图

Fig. 1 Distributions of ground-based GNSS stations for ionospheric CT and ionosonde stations for accuracy validation

下载: 全尺寸图片幻灯片

图 2 2017-09-06中国及周边区域Madrigal垂直TEC分布

Fig. 2 Distribution of Madrigal vertical TEC over China and surrounding areas on September 6, 2017

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图 3 2017-09-06中国及周边区域CODE全球电离层TEC分布

Fig. 3 Ionospheric TEC distribution of CODE-GIM over China and its surrounding regions on September 6, 2017

下载: 全尺寸图片幻灯片

图 4 2017-09-06中国及周边区域IRI模型计算给出的TEC分布

Fig. 4 Ionospheric TEC distribution of IRI model over China and its surrounding regions on September 6, 2017

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图 5 2017-09-06中国及周边区域电离层TEC地图电离层CT重构结果

Fig. 5 Ionospheric TEC map of CIT reconstruction results over China and surrounding areas on September 6, 2017

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图 6 电离层TEC地图精度评估结果

Fig. 6 Accuracy evaluation results of different ionospheric TEC map

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图 7 2017-09-06中国及周边区域上空电离层CT的三维电子密度分布

Fig. 7 3D electron density distribution of ionospheric CT over China and its surrounding areas on September 6, 2017

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图 8 2017-09-06东经100°上空IED随时间-纬度-高度的变化

Fig. 8 The variation of ionospheric electron density over 100° E on September 6, 2017 with universal time

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图 9 电离层CT前后电离层f_oF₂误差比较

Fig. 9 Comparison of ionospheric fo F2 deviation before and after ionospheric CT

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图 10 电离层CT前后电离层h_mF₂误差比较

Fig. 10 Comparison of ionospheric hm F2 deviation before and after ionospheric CT

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