Auto-covariance estimation of variable samples (ACEVS) and its application for monitoring random ionospheric disturbances using GPS |
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| Authors: | Y Yuan J Ou |
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| Institution: | (1) Laboratory of Dynamic Geodesy, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, 430077, China, e-mail: yybdn@hotmail.com; Tel.: +86-27-86780836; Fax: +86-27-86783841, CN |
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| Abstract: | Ionospheric variation may be considered as a stationary time series under quiet conditions. However, the disturbance of a
stationary random process from stationarity results in the bias of corresponding samples from the stationary observations,
and in the change of statistical model parameters of the process. From a general mathematical aspect, a new method is presented
for monitoring ionospheric variations, based on the characteristic of time-series observation of GPS, and an investigation
of the statistical properties of the estimated auto-covariance of the random ionospheric delay when changing the number of
samples in the time series is carried out. A preliminary scheme for monitoring ionospheric delays is proposed.
Received: 18 August 2000 / Accepted: 12 April 2001 |
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| Keywords: | : GPS – Stationary Random Process – Ionospheric Disturbances – Monitoring |
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