Phase modeling of indoor radio propagation channels

Multipath propagation in indoor environments results in distortions in signal amplitude and phase. Performance of digital communication systems is very sensitive to statistical properties of received signal´s phase. To date, however, no empirically driven model for signal phase has been reported in literature. This is probably due to difficulties associated with measuring the phase of individual multipath components. In the present work two phase models, partly developed in Hashemi (1993), have been studied in great detail and their performance has been evaluated by means of extensive computer simulations. First and second order statistics of a narrowband CW fading signal obtained from a large empirical wideband impulse response data base for different choices of phase models have been investigated. It is shown that a deterministic phase model, that updates phase information using several scatterers for each multipath component, as well as a random phase model, which updates phase of each multipath with random increments, provide narrowband CW fading results consistent with those obtained in measurements