A statistical based UWB multipath channel model for the indoor environments WPAN applications

In this paper, a statistical-based ultra-wideband (UWB) indoor channel model which incorporates the clustering of multipath components (MPCs) is proposed. The model is derived based on measurement data collected in the frequency band of 3-10 GHz in various types of high-rise apartments under different propagation scenarios. The aim is to investigate in more detail the clustering of MPCs phenomenon. The description of clustering observed within the channel relies on two classes of parameters, namely, inter-cluster and intra-cluster parameters which characterize the cluster and MPC, respectively. All parameters are described by a set of empirical probability density functions derived from the measured data such as the distribution of clusters and MPCs, clusters and MPCs arrivals and amplitudes statistics. In addition, the measurement procedure and data analysis techniques are also discussed. This model is suitable for performance analysis of WPAN systems that employ UWB technology e.g. IEEE 802.15.3a and IEEE 802.15.4a.