Abstract
The ionospheric delay is the predominant error source limiting the required positioning accuracy of GNSS whose estimation accuracy affects the effectiveness of ionospheric delay correction directly, especially in mid- and low-latitude regions where the irregularities of ionosphere are prominent. And a certain spatiotemporal variation exists in ionosphere which is caused by the fact that the intensity of ionospheric delay depends on the solar activities. Considering the spatiotemporal distribution characteristics of the ionosphere, data from the Crustal Movement Observation Network Of China (CMONOC) are processed to achieve the ionospheric TEC grid modeling in real time based on spatial variability and correlation theory, and its performance is analyzed under different solar activities. By processing the measured data, the accuracy of Kriging modeling under solar maximum (2014.02) and solar minimum (2015.03) since 2014 are analyzed and verified by the data from external rover stations located at different latitudes and longitudes. The statistics show that the inner precision can still reach about 2.63 TECU, and the Mean Square Error (MSE) of estimated grids VTEC is about 4.52 TECU under intense solar activity condition. The effect of correction at each rover station and the overall average of correction is generally 80 and 90 % or more, respectively, which is nearly equal to than that under low solar activity. This work reveals that the Kriging approach presented here which takes into account the spatial correlation and variability structure of the ionosphere TEC is appropriate for the areas with complex ionospheric variations such as China, and is also suitable for the situation under different solar activities.
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Acknowledgments
This work is supported partly by grants from the Key Program of National Natural Science Foundation of China (No. 41231064), the National High Technology Research and Develop Program of China (No. 2014AA123101). And we are grateful to the CMONOC authorities for providing the data for this study.
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Huang, L., Zhang, H., Xu, P. (2016). Performance Analysis of China Regional VTEC Kriging Grid Algorithm. In: Sun, J., Liu, J., Fan, S., Wang, F. (eds) China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume III. Lecture Notes in Electrical Engineering, vol 390. Springer, Singapore. https://doi.org/10.1007/978-981-10-0940-2_41
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DOI: https://doi.org/10.1007/978-981-10-0940-2_41
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