Research on a Type of Region Ionosphere Correction Method of Sparse Distribution Station Conditions

doi:10.12060/j.issn.1000-7202.2014.02.14

JOURNAL OF ASTRONAUTIC METROLOGY AND MEASUREMENT ›› 2014, Vol. 34 ›› Issue (2): 55-60.doi: 10.12060/j.issn.1000-7202.2014.02.14

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Research on a Type of Region Ionosphere Correction Method of Sparse Distribution Station Conditions

ZHAO Kun-juan^1,2,3；HUA Yu^1,2；GUO Wei^1,2；YAN Bao-rong^1,2；YAN Wen-he^1,2,3

1、National Time Sevice Center of Chinese Academy of Sciences, Xi′an 710600;
2、Key Laboratory for Precise Navigation, Positioning and Timing of Chinese Academy of Science, Xi′an 710600;
3、University of Chinese Academy of Sciences, Beijing 100039

Online:2014-04-15 Published:2014-04-15

Abstract

Abstract: The grid ionospheric correction method of WAAS satellite navigation system is studied, and the distribution characteristics of China′s regional ionospheric are analyzed. According to the China region sparse distribution station conditions, MEO and GEO satellites motion characteristics, as well as C-band GEO satellite ionospheric delay characteristics, the use of distance exponential weighting inter-polation ionospheric delay correction method is proposed. IGS published ionospheric data, respectively, using the grid ionospheric weighting method and distance exponential weighting interpolation method for Matlab simulation, then contrast with IGS afterwards sophisticated products on the simulation results, the results proof that the distance exponential weighting interpolation method for ionospheric delay correction has effect with a more ideal in the Chinese region sparse distribution station conditions.

Key words: Satellite navigation, TEC, Grid ionosphere, Distance exponential weighting interpolation method

ZHAO Kun-juan；HUA Yu；GUO Wei；YAN Bao-rong；YAN Wen-he. Research on a Type of Region Ionosphere Correction Method of Sparse Distribution Station Conditions[J]. JOURNAL OF ASTRONAUTIC METROLOGY AND MEASUREMENT, 2014, 34(2): 55-60.

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Research on a Type of Region Ionosphere Correction Method of Sparse Distribution Station Conditions

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