A modified S-V clustering channel model for the UWB indoor residential environment

In this paper, a new modified Saleh-Valenzuela (S-V) clustering channel model is proposed based on the measurement data collected in various types of high-rise apartments under different propagation scenarios in the ultra-wideband (UWB) frequency band of 3-10 GHz. A new distribution, namely, mixtures of two Poisson processes is proposed to model the ray arrival times. This new distribution fits the empirical data much better than the single Poisson process proposed in the conventional S-V model. The measurement procedure allows the small-scale amplitude fading statistics to be studied. Analysis results show that they can be well modeled by either lognormal, Nakagami or Weibull distributions whose parameters i.e. standard deviation, m-parameter and b-shape parameter, respectively, are lognormal distributed random variables. These parameters are found to be invariant across the excess delay. Additionally, the temporal correlation between adjacent path amplitudes is also investigated. The amplitude temporal correlation coefficients are found to be relatively small and thus, can be assumed to be negligible in reality. The proposed model can provide a more realistic simulation platform for the UWB communication systems.