A regression model for forecasting microwave radio fading at Palmetto, Georgia.

Refractive fading degrades telecommunications transmissions on microwave radio systems. Since fading occurrence is highly variable from one night to the next, forecasts of the probability of fading occurring at a given location on the upcoming night would be useful for reducing the adverse impact of fading on transmission performance. In this work we used logistic regression analysis to develop an empirical formula for forecasting refractive fading probability from meteorological parameters forecast by the National Weather Service's numerical forecast models.