Least Square Spectral Analysis of the GPS Derived Ionospheric Data

J. Asgari and A. Harmel

Abstract:	Least Squares Spectral Analysis (LSSA) is used to pre- dict the Total Electron Content (TEC) and hence the ionospheric correction of GPS measurements. The time series in the analysis consists of the TEC values computed from ionospheric models. These data correspond to several years of observations in the French Permanent GPS Network (RGP). Least squares spectra of the data are estimated and a prediction model is derived. The model includes the trigono- metric functions and a linear trend. The frequencies of trigonometric functions correspond to the dominant spectral components in the spectrum. The interesting result is that a harmonic phenomenon with 12h period is seen in the data. There may exist some physical reasons for its presence. As an immediate use of the analysis, we formed a iono- spheric prediction grid using the data of last several days. Comparison with the standard Klobuchar model shows that our method improves the real time single frequency GPS positioning accuracy.
Published in:	Proceedings of the 2005 National Technical Meeting of The Institute of Navigation January 24 - 26, 2005 The Catamaran Resort Hotel San Diego, CA
Pages:	716 - 724
Cite this article:	Asgari, J., Harmel, A., "Least Square Spectral Analysis of the GPS Derived Ionospheric Data," Proceedings of the 2005 National Technical Meeting of The Institute of Navigation, San Diego, CA, January 2005, pp. 716-724.
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