Cauchy Angular Distribution for Clustered Radio Propagation SIMO Channel Model

This paper presents a state-space based simulation model for single-input and multiple-output (SIMO) channels with spatio-temporal channel-correlations due to clustered radio propagation. The scattering clusters are modeled as two-dimensional Cauchy (TDCA) clusters. This renders an angle of arrival (AOA) that can be approximated as a Cauchy angular distribution. An autoregressive order one (AR1) model is able to approximate the spatio-temporal correlation. A state-space model is employed to the temporal dynamics of the SIMO channels. The contribution of the cluster to each antenna is a state in this model. A correlated innovation process adjusts the correlation between antennas. This renders the appropriate spatio-temporal channel correlation in the simulated channels.