Correlation model for slow fading in a small urban macro cell

摘要

This paper presents an autocorrelation model of the slow fading process in a small urban macro cell. The model is obtained by a combination of parametric system identification and classical spectral estimation procedures, and is based on measured data. An analytic expression for the autocorrelation function of the resulting ARMA (2,1)-autoregressive moving average-model is given and compared to other results. The model predicts about the same overall decorrelation distance, but a faster correlation roll-off for small lags.