Abstract
GNSS ionospheric correction models for single frequency user are realized through the combination of the information of long term variation from available background ionospheric model and the real-time information from GNSS measurements. Method of ionospheric model driven by GNSS data and models for the driven factor are cores for the GNSS ionospheric model. A factor of Equivalent Irradiation (ER) is introduced for ionospheric model driven method, and a new model of the factor for prediction is put forward based on its temporal and spatial variations, including a linear term and a periodic term. Analysis shows that the relative accuracy of more than 70 % could be achieved for GNSS ionospheric model based on the new driven factor model, better than that of GALILEO realization which based on a three-coefficient factor model. The driven factor model in GALILEO is a specific realization of the new model when a simplification is used.
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References
Arbesser-Rastburg B (2006) The Galileo single frequency ionospheric correction algorithm, ESWW3, Brussels, 15, Sept 2006
Nava B, Coïsson P, Amarnate GM, Azpilicueta F, Radicella SM (2005) A model assisted ionospheric electron density reconstruction method based on vertical TEC data ingestion. Ann Geoph 48(N.2):313–320
Miró Amarante G, Radicella SM, Nava B, Coïsson P (2003) Validation of a new method for ionospheric electron density reconstruction by means of vertical incidence data. In: Proceedings of ‘atmospheric remote sensing using satellite navigation systems’, special symposium of the URSI Joint Working Group, 2003, Matera (FG), Italy, pp 335–342
Nava B, Coïsson P, Miró Amarante G, Radicella SM (2003) A new model assisted method for ionosphere electron density reconstruction. In: Proceedings of ‘atmospheric remote sensing using satellite navigation systems’, special symposium of the URSI Joint Working Group, 2003, Matera (FG), Italy, pp 343–348
Bust GS, Coker C, Coco DS, Gaussiran II TL, Lauderdale T (2001) IRI data ingestion and ionospheric tomography. Adv Space Res 27(1), 157–165
Komjathy A, Langley RB, Bilitza D (1998) Ingesting GPS-derived TEC data into the international reference ionosphere for single frequency radar altimeter ionospheric delay correction. Adv Space Res 22(6):793–801
Klobuchar JA (1987) Ionospheric time-delay algorithm for single frequency GPS users. IEEE Trans Aerospace Electron Syst AES-23(3):325–331
Liu D, Yu X, Chen L, Ou M (2013) GNSS Data-based ingestion of ionospheric model and its application, CSNC 2013, Guangzhou
Schaer S (1999) Mapping and predicting the Earth’s ionosphere using the global positioning system. Astronomisches Institut der Universitat Bern 1999
European Union (2010) European GNSS (GALILEO) OS SIS ICD, Issue 1.1, Sept 2010
Acknowledgments
This work is sponsored by the International Technological Cooperation Projects (No. 2011DFA22270).
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Liu, D., Yu, X., Chen, L., Zhen, W. (2015). An Improved GNSS Global Ionospheric Model. In: Sun, J., Liu, J., Fan, S., Lu, X. (eds) China Satellite Navigation Conference (CSNC) 2015 Proceedings: Volume II. Lecture Notes in Electrical Engineering, vol 341. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46635-3_31
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DOI: https://doi.org/10.1007/978-3-662-46635-3_31
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