Volume 40 Issue 1
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LIANG Chuan, FU Jielin, WANG Junyi, FAN Yurong. Regional Ionosphere Modeling Based on BDS/GPS and Empirical Model[J]. Chinese Journal of Space Science, 2020, 40(1): 20-27. doi: 10.11728/cjss2020.01.020
Citation: LIANG Chuan, FU Jielin, WANG Junyi, FAN Yurong. Regional Ionosphere Modeling Based on BDS/GPS and Empirical Model[J]. Chinese Journal of Space Science, 2020, 40(1): 20-27. doi: 10.11728/cjss2020.01.020
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Regional Ionosphere Modeling Based on BDS/GPS and Empirical Model

doi: 10.11728/cjss2020.01.020

  • Key Laboratory of Cognitive Radio and Information Processing of the Ministry of Education, Guilin University of Electronic Technology, Guilin 541004

  • Received Date: 2019-02-25
  • Rev Recd Date: 2019-08-24
  • Publish Date: 2020-01-15
    Abstract
  • Based on the Ionospheric Pierce Point (IPP) data observed by the Beidou Navigation Satellite System (BDS) as well as Global Positioning System (GPS) and the historical data, a high accuracy modeling method for the Total Electron Content (TEC) of regional two dimensional ionosphere is proposed. The historical data are derived from International Reference Ionosphere (IRI) empirical model. The method can solve the low accuracy problem of short-period ionosphere modeling in the area lacking IPPs and the diverse distribution of IPPs in each period. Virtual IPP data estimated from the IRI model is uniformly inserted in the modeling area, and the dynamic weight value is assigned to the data using the constructed weight calculating formula according to the distance from the measured IPP. The spherical harmonic model parameters are calculated by the weighted least squares method. Based on the Global Ionosphere Map (GIM) released by Center for Orbit Determination in Europe (CODE), the comparison of the vertical TEC value obtained from this present method with the modeling method only using BDS/GPS IPP data shows that a significant accuracy improvement of the area lacking the measured IPP has been obtained by the method in this paper.

     

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    • References(23)
  • [1]
    YUAN Yunbin, HUO Xingliang, ZHANG Baocheng. Research progress of precise models and correction for GNSS ionospheric delay in China over recent years[J]. Acta Geodaet. Cartograph. Sin., 2017, 46(10):1364-1378(袁运斌, 霍星亮, 张宝成. 近年来我国GNSS电离层延迟精确建模及修正研究进展[J]. 测绘学报, 2017, 46(10):1364-1378)
    [2]
    AFRAIMOVICH E L, YASUKEVICH Y V. Using GPS-GLONASS-GALILEO data and IRI modeling for ionospheric calibration of radio telescopes and radio interferometers[J]. J. Atmos. Sol. Terr. Phys., 2008, 70(15):1949-1962
    [3]
    ARORA B S, MORGAN J, ORD S M, et al. Ionospheric modelling using GPS to calibrate the MWA. I:Comparison of first order ionospheric effects between GPS models and MWA observations[J]. Publ. Astron. Soc. Aust., 2015, 32:1-25
    [4]
    SCHAER S. Mapping and Predicting the Earth's Ionosphere Using the Global Positioning System[D]. Zürich:Schweizerische Geodätische Kommission, 1999
    [5]
    ZHANG Xiaohong, LI Zhenghang, CAI Changsheng. Study on regional ionospheric model using dual-frequency GPS measurements[J]. Geomat. Inf. Sci. Wuhan Univ., 2001, 26(2):140-143,159
    [6]
    YUAN Yunbin, OU Jikun. A generalized trigonometric series function model for determining ionospheric delay[J]. Prog. Nat. Sci., 2004, 14(11):1010-1014
    [7]
    LIU Jingbin, CHEN Ruizhi, WANG Zemin, et al. Spherical cap harmonic model for mapping and predicting regional TEC[J]. GPS Solut., 2011, 15(2):109-119
    [8]
    LIU Jingbin, WANG Zemin, ZHANG Hongping, et al. Comparison and consistency research of regional ionospheric TEC models based on GPS measurements[J]. Geomat. Inf. Sci. Wuhan Univ., 2008, 33(5):479-483
    [9]
    YANG Kai, XUE Junchen, SONG Shuli, et al. Establishment and assessment of China regional ionosphere model based on CMONOC[J]. J. Geodesy Geodyn., 2016, 36(2):138-142,157
    [10]
    ZHANG Rui, SONG Weiwei, YAO Yibin, et al. Modeling regional ionospheric delay with ground-based Beidou and GPS observations in China[J]. GPS Solut., 2015, 19(4):649-658
    [11]
    WANG Jian, DANG Yamin, WANG Hu, et al. Research on multisystem fusion global ionospheric modeling[J]. Bull. Surv. Map., 2018, 6:7-11
    [12]
    LI Zhenghang, HUANG Jinsong. GPS Surveying and Data Processing[M]. 3rd ed. Wuhan:Wuhan University Press, 2016
    [13]
    SOTOMAYOR-BELTRAN C, SOBEY C, HESSELS J, et al. Calibrating high-precision Faraday rotation measurements for LOFAR and the next generation of low-frequency radio telescopes[J]. Astron. Astrophys., 2013, 552:A58. DOI: 10.1051/0004-6361/201220728
    [14]
    DETTMERING D, SCHMIDT M, HEINKELMANN R, et al. Combination of different space-geodetic observations for regional ionosphere modeling[J]. J. Geodesy, 2011, 85(12):989-998
    [15]
    CHEN Peng, YAO Wanqiang, ZHU Xuejun. Combination of ground- and space-based data to establish a global ionospheric grid model[J]. IEEE Trans. Geosci. Remote Sens., 2015, 53(2):1073-1081
    [16]
    YAO Yibin, LIU Lei, KONG Jian, et al. Global ionospheric modeling based on multi-GNSS, satellite altimetry, and Formosat-3/COSMIC data[J]. GPS Solut., 2018, 22(4):104. DOI: 10.1007/s10291-018-0770-6
    [17]
    WANG Cheng, WANG Jiexian, DUAN Bingbing. Global ionospheric model with International Reference Ionosphere constraint[J]. Geomat. Inf. Sci. Wuhan Univ., 2014, 39(11):1340-1346
    [18]
    WANG Yueliang, LI Bofeng, WANG Miaomiao, et al. Global ionosphere spheric harmonic function modeling with virtual TEC observations of empirical models[J]. Prog. Geophys., 2017, 32(3):1043-1050
    [19]
    SCHAER S, BEUTLER G, MERVART L, et al. Global and regional ionosphere models using the GPS double difference phase observable[C]//Proceedings of the IGS Workshop "Special Topics and New Directions". Potsdam:GeoForschungsZentrum Potsdam 1995:77-92
    [20]
    SCHAER S, BEUTLER G, ROTHACHER M, et al. Daily global ionosphere maps based on GPS carrier phase data routinely produced by the CODE Analysis Center[C]//Proceedings of the IGS Analysis Center Workshop 1996. California:Jet Propulsion laboratory California Institute of Technology, 1996:181-192
    [21]
    ALCAY Salih, YIGIT Cemal, SEEMAL Gopi, et al. GPS-Based ionosphere modeling:a brief review[J]. Fresen. Environ. Bull., 2014, 23:815-824
    [22]
    JIN Rui, JIN Shuanggen, FENG Guiping. M_DCB:matlab code for estimating GNSS satellite and receiver differential code biases[J]. GPS Solut., 2012, 16(4):541-548
    [23]
    ZHANG Jing, LIU Jingnan, LI Cong. Research and discussion on the International Reference Ionosphere model[J]. J. Guilin Univ. Technol., 2017, 37(1):114-119
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