Abstract
In this paper, the theory of frequency spectrum analysis is introduced and this method is applied to ionosphere TEC (total electron content) short-term forecast. The tendency of observation data is analyzed and the significance of periods is tested by F distribution. The forecasting model can be established after the significant periods have been determined. The results indicate that the fitting precision is about 0.5 TECU. 99.3% of forecasting residuals are less than ±3 TECU. Forecasting precision is related to longitude and latitude, and it isn’t proportional to the length of historical data used. Comparing with the existing methods, this method of high precision, fewer data and simplicity has promising application in ionosphere short-term forecast.
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Acknowledgments
This research is funded by the national ‘863 High Technology Project’ (No: 2011AA120503), the ‘Technology Project’ (No: 2012BAB16B01), the CASM’s research foundation (No: 7771120) and supported by the 927project (No: A1939).
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Zhao, C., Dang, Y., Bei, J., Yin, H. (2012). Ionosphere TEC Short-Term Forecast Based on Frequency Spectrum Analysis. In: Sun, J., Liu, J., Yang, Y., Fan, S. (eds) China Satellite Navigation Conference (CSNC) 2012 Proceedings. Lecture Notes in Electrical Engineering, vol 159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29187-6_44
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DOI: https://doi.org/10.1007/978-3-642-29187-6_44
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