Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel

Most previously proposed statistical models for the indoor multipath channe l include only time-of-arrival characteristics. However, in order to use st atistical models in simulating or analyzing the performance of systems empl oying spatial diversity combining, information about angle of arrival stati stics is also required, Ideally, it would be desirable to characterize the full space-time nature of the channel. In this paper, a system is described that was used to collect simultaneous time and angle of arrival data at 7 GHz, Data processing methods are outlined, and results obtained from data t aken in two different buildings are presented. Based on the results, a mode l is proposed that employs the clustered "double Poisson" time-of-arrival m odel proposed by Saleh and Valenzuela (1987), The observed angular distribu tion is also clustered with uniformly distributed clusters and arrivals wit hin clusters that have a Laplacian distribution.