Statistical modeling of the indoor radio propagation channel. II

For pt.I see ibid. (1992). Statistical analyses of indoor radio propagation data are reported. The database includes 12000 impulse response profiles of the channel collected at two office buildings. Statistical properties of the number of multipath components for each profile are described. A Poisson fit to the arrival time data proved to be unsatisfactory. A modified Poisson model showed good fit to the data. Amplitudes were found to be lognormally distributed over both local and global areas, with a log-mean value that decreases almost linearly with increasing the excess-delay. There is a high degree of spatial correlations on path variables which has been quantified for the amplitude sequence