Gaussian random process and its application for detecting the ionospheric disturbances using GPS

Astronomy and Astrophysics – Astronomy

Scientific paper

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Astrometry, Gps, Tec, Gaussian Process, Anomaly Detection

Scientific paper

Usually, ionospheric Total Electron Content (TEC) variation with time can be viewed as a stationary random process under quiet conditions. However, sudden events of the Sun and the Earth such as solar flare and sudden commencement of geomagnetic storms may induce the disturbances of the ionosphere, so that the stationary random process is broken which will lead to the statistical model parameters changing. Based on this fact, here we made use of the time series of TEC and the auto-covariance function of the stationary process to construct independent identical distribution Gauss sample so that the χ2 test can be used to detect the abnormity hidden in the sequence. In addition, GPS data collected by several IGS sites over China during the severe solar flare occurred on July 14, 2000 are used to verify the method. The results indicate that the disturbances caused by the solar flare can be effectively detected.

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