General N-state Markov Model Applicable for Attenuation Time Series Generation Parametrised from Gaussian Fade Slope Model
نویسنده
چکیده
In this work an N-state Markov Chain model is attempted to validate, which is used to generate an attenuation time series. The model is applicable for estimating the CCDFs (complement cumulative distribution function) of attenuation. The state transition probability parameters of the model is determined from fade slope statistics of attenuation. The conditional probability density function of fade slope is estimated with a Gaussian distribution function. Key-Words: Attenuation modeling, N-state Markov Chain model, Fade Slope modeling, CCDF of attenuation estimation
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