基于数据融合的电离层VTEC反演精度分析
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  • 英文篇名:Inversion Accuracy Analysis of Ionospheric VTEC Based on Data Fusion
  • 作者:郭承军 ; 吴玉飞
  • 英文作者:GUO Cheng-jun;WU Yu-fei;Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China;
  • 关键词:数据融合 ; Kalman滤波 ; IRI-2016 ; 地基GPS ; 电离层VTEC
  • 英文关键词:data fusion;;Kalman filter;;IRI-2016;;foundation inversion;;ionospheric VTEC
  • 中文刊名:TWXB
  • 英文刊名:Acta Astronomica Sinica
  • 机构:电子科技大学电子科学技术研究院;电子科技大学通信抗干扰技术国家级重点实验室;
  • 出版日期:2019-05-28 16:36
  • 出版单位:天文学报
  • 年:2019
  • 期:v.60
  • 语种:中文;
  • 页:TWXB201903004
  • 页数:10
  • CN:03
  • ISSN:32-1113/P
  • 分类号:47-56
摘要
随着空间目标活动和卫星导航系统的增多,观测电离层数据的途径越来越多,探测精度也越来越高.在Kalman滤波的基础上,利用2016年的国际参考电离层(IRI-2016)模型中电离层垂直电子含量(Vertical Total Electron Content, VTEC),结合地基反演得到的VTEC值,利用数据融合算法提高电离层VTEC的近实时反演精度.针对加拿大附近高纬度区域(130°W–150°W, 60°N–70°N)、朝鲜、韩国和日本周边中纬度区域(115°E–135°E, 32.5°N–42.5°N)、洪都拉斯和危地马拉附近低纬度区域(80°W–100°W, 10°N–20°N)进行了观测,比较发现地基反演和数据融合技术得到的电离层VTEC精度都比较高,但是数据融合得到的电离层VTEC在3个区域的精度都明显更好.该算法能够很好地应用在地面基准站数量较多的区域,同时也能应用在地面基准站数量较少或者海洋、沙漠等布设地面基准站不方便的区域,提高电离层VTEC的精度.
        With the increase of space target activities and satellite navigation systems,there are more and more ways to observe ionospheric data, and the detection accuracy is also higher and higher. Based on the Kalman filter, this paper uses the IRI-2016 ionospheric vertical total electron content(VTEC), and combined with the VTEC value obtained from the ground-based inversion, and the data fusion algorithm to improve the near-real-time inversion accuracy of the ionospheric VTEC. This paper observes the high-latitude area near Canada(130°W–150°W, 60°N–70°N), the middle-latitude area around North Korea, South Korea, and Japan(115°E–135°E, 32.5°N–42.5°N),the low-latitude area near Honduras and Guatemala(80°W–100°W, 10°N–20°N), and finds that the ionospheric VTEC accuracy obtained by the ground-based inversion and data fusion techniques is very high. However, the ionospheric VTEC obtained by data fusion is significantly better in the three areas. The algorithm can be well applied in the area with a large number of ground reference stations, and in the area with a small number of ground reference stations or in the area where it is inconvenient to lay ground reference stations such as oceans and deserts, and improve the accuracy of the ionospheric VTEC.
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