Real-Time Regional Ionospheric Total Electron Content Modeling Using Spherical Harmonic Function

被引:1
作者
Zhang, Shoujian [1 ]
Chang, Xin [1 ]
Zhang, Wei [1 ]
机构
[1] Wuhan Univ, Sch Geodesy & Geomat, Wuhan, Hubei, Peoples R China
来源
CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2013 PROCEEDINGS: BEIDOU/GNSS NAVIGATION APPLICATIONS, TEST & ASSESSMENT TECHNOLOGY, USER TERMINAL TECHNOLOGY | 2013年
关键词
CORS; Ionosphere; Regional; Modeling; TEC; DCB;
D O I
10.1007/978-3-642-37398-5_11
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The Ionospheric Total Electron Content (TEC) model is very important for navigation, precise positioning and some other applications. In recent years, with the fast development of the local Continuously Operating Reference Stations (CORS) in China, determining precise local Ionospheric TEC model is very attractive for local precise positioning. Ionosphere delay is one of the most error sources. At present, the establishment of large-scale CORS system in china provided the conditions for establish real-time regional Ionospheric model using spherical harmonic function. In this paper, we will model the ionospheric TEC using the GPS geometry-free combination observable with the low order spherical harmonic function, meanwhile, the DCBs will also be solved with the Vertical TEC (VTEC). In the experiment, about 20 IGS stations from Europe are chosen to simulate a CORS network, a set of ionosphere coefficients is assumed every 2 h. By comparisons with the IGS Analysis Centre's model, it shows that the mean difference of the DCBs is less than 0.35 ns with the RMS about 0.2 ns, and the difference of the VTEC is less than 3 TECU.
引用
收藏
页码:113 / 123
页数:11
相关论文
共 50 条
[21]   Higher order ionospheric delay and derivation of regional total electron content over Ethiopian global positioning system stations [J].
Yehun, Asmamaw ;
Kassa, Tsegaye ;
Vermeer, Martin ;
Hunegnaw, Addisu .
ADVANCES IN SPACE RESEARCH, 2020, 66 (03) :612-630
[22]   Real-time digital time-varying harmonic modeling and simulation techniques [J].
Pak, Lok-Fu ;
Dinavahi, Venkata ;
Chang, Gary ;
Steurer, Michael ;
Ribeiro, Paulo F. .
IEEE TRANSACTIONS ON POWER DELIVERY, 2007, 22 (02) :1218-1227
[23]   FORECASTING OF IONOSPHERIC VERTICAL TOTAL ELECTRON CONTENT (TEC) USING LSTM NETWORKS [J].
Sun, Wenqing ;
Xu, Long ;
Huang, Xin ;
Zhang, Weiqiang ;
Yuan, Tianjiao ;
Chen, Zhuo ;
Yan, Yihua .
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 2, 2017, :340-344
[24]   Nonlinear dynamic systems modeling using Gaussian processes: Predicting ionospheric total electron content over South Africa [J].
Ackermann, E. R. ;
de Villiers, J. P. ;
Cilliers, P. J. .
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2011, 116
[25]   Enhanced real-time global ionospheric maps using machine learning [J].
Iten, Marcel ;
Mao, Shuyin ;
Pan, Yuanxin ;
Soja, Benedikt .
GPS SOLUTIONS, 2025, 29 (03)
[26]   Ionospheric Sounding Using Real-Time Amateur Radio Reporting Networks [J].
Frissell, N. A. ;
Miller, E. S. ;
Kaeppler, S. R. ;
Ceglia, F. ;
Pascoe, D. ;
Sinanis, N. ;
Smith, P. ;
Williams, R. ;
Shovkoplyas, A. .
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2014, 12 (12) :651-656
[27]   An Empirical Model of Ionospheric Total Electron Content Based on Tide-Like Signature Modeling [J].
Ruan, Haibing ;
Lei, Jiuhou ;
Lu, Jianyong ;
Tang, Fen .
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2023, 21 (12)
[28]   Regional ionospheric total electron content over Africa from ground-based GNSS observations [J].
Moses, M. ;
Dodo, J. D. ;
Ojigi, L. M. ;
Lawal, K. .
SOUTH AFRICAN JOURNAL OF GEOMATICS, 2021, 10 (01) :17-30
[29]   REGIONAL AND SEASONAL PARAMETRIC PROBABILITY DENSITY FUNCTION ESTIMATION FOR TOTAL ELECTRON CONTENT [J].
Koroglu, Ozan ;
Arikan, Feza ;
Deviren, M. Necat .
2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, :915-918
[30]   Estimation of ionospheric total electron content using GNSS observations derived from a smartphone [J].
Xu, Li ;
Zha, Jiuping ;
Li, Min ;
Yuan, Yunbin ;
Zhang, Baocheng .
GPS SOLUTIONS, 2022, 26 (04)