Statistical Analysis of Multipath Clustering in an Indoor Office Environment

In this paper, a parametric directional-based MIMO channel model is presented which takes multipath clustering into account. The directional propagation path parameters include azimuth of arrival (AoA), azimuth of departure (AoD), delay, and power. MIMO measurements are carried out in an indoor office environment using the virtual antenna array method with a vector network analyzer. Propagation paths are extracted using a joint 5-D ESPRIT algorithm and are automatically clustered with the K-power-means algorithm. This work focuses on the statistical treatment of the propagation parameters within individual clusters (intra-cluster statistics) and the change in these parameters from one cluster to another (inter-cluster statistics). Motivated choices for the statistical distributions of the intra-cluster and inter-cluster parameters are made. To validate these choices, the parameters’ goodness-of-fit to the proposed distributions is verified using a number of powerful statistical hypothesis tests. Additionally, parameter correlations are calculated and tested for their significance. Building on the concept of multipath clusters, this paper also provides a new notation of the MIMO channel matrix (named FActorization into a BLock-diagonal Expression or FABLE) which more visibly shows the clustered nature of propagation paths. Index Terms propagation measurements, MIMO, office environment, multipath cluster