Global Ionospheric Modeling and Positioning Accuracy Analysis with IRI Model Constraints
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1.College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China;2.Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China

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P228

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    Abstract:

    The effectiveness and necessity of adding International Reference Ionosphere (IRI) model constraints and different data selection strategies are determined in the global ionospheric modeling with the carrier-to-code leveling method. The experimental analyses show that by using the original dual-frequency P1 and P2 observations with IRI model constraints, the overall effect of ionospheric modeling is significantly improved at some epochs. Specifically, in those areas where observations are insufficient, the positioning errors are significantly reduced by 0.260 m, 0.146 m, and 0.103 m in the North, East, and Up directions respectively, which verifies the effectiveness of the method. After replacing the missing P1 observations with C1 observations as low-accuracy data, the overall quality of ionospheric modeling is further improved, although the model accuracy is slightly lost. In areas without sufficient observations, the positioning errors are increased by 0.524 m, 0.111 m, and 1.549 m in the North, East, and Up directions respectively, indicating the necessity of using the P1 and P2 dual-frequency observation data.

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YANG Ling, ZHOU Chunyuan, SU Xiaoning, LI Bofeng. Global Ionospheric Modeling and Positioning Accuracy Analysis with IRI Model Constraints[J].同济大学学报(自然科学版),2021,49(11):1606~1613

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History
  • Received:January 05,2021
  • Revised:
  • Adopted:
  • Online: November 29,2021
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