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.
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Received: 18 August 2000 / Accepted: 12 April 2001
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Yuan, Y., Ou, J. Auto-covariance estimation of variable samples (ACEVS) and its application for monitoring random ionospheric disturbances using GPS. Journal of Geodesy 75, 438–447 (2001). https://doi.org/10.1007/s001900100197
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DOI: https://doi.org/10.1007/s001900100197