A model for the statistical prediction of fade durations, applicable both to scintillation and rain-induced effects, is presented in this paper. It assumes that durations longer than about 1 minute are log-normally distributed while shorter durations follow a power-law distribution. The model is assessed using data contained in the CCIR data bank and from measurements performed with the satellites SIRIO and OLYMPUS. The model is tested using the same data and the results give multiplicative errors in the range from 0.6 to 1.8 (averages) and from 0.3 to 3.0 (r.m.s.) in the estimation of the fade durations exceeded for fixed probability.
A NEW METHOD FOR THE PREDICTION OF FADE DURATION STATISTICS IN SATELLITE LINKS ABOVE 10 GHz
PARABONI, ALDO;RIVA, CARLO GIUSEPPE
1994-01-01
Abstract
A model for the statistical prediction of fade durations, applicable both to scintillation and rain-induced effects, is presented in this paper. It assumes that durations longer than about 1 minute are log-normally distributed while shorter durations follow a power-law distribution. The model is assessed using data contained in the CCIR data bank and from measurements performed with the satellites SIRIO and OLYMPUS. The model is tested using the same data and the results give multiplicative errors in the range from 0.6 to 1.8 (averages) and from 0.3 to 3.0 (r.m.s.) in the estimation of the fade durations exceeded for fixed probability.| File | Dimensione | Formato | |
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ParaboniRivaIJSC94.pdf
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