Angle Dependent N-State Markov Model for Rain Attenuation Time Series Generation

In our previous works an N-state Markov chain model was used to generate a rain attenuation time series [1,2,3,4]. The model is applicable for predicting the first and second order statistics of attenuation on a proposed microwave link in the planning phase. The model parameters were derived from fade slope statistics of measured attenuation. The novelty of this work is investigating the correlation angle dependency of the generated time series.