Applications of Stochastic Bridge Processes to Modeling Space-Time Characteristics of Short Range Wireless Propagation Channels
随机桥过程研究短程无线信道的空时特性

The samples of stochastic bridge processes are employed to model propagation trajectories of Multi-Path Components (MPCs) in short range wireless propagation channels. Under some specialized mapping rules, the basic random variables constructed from samples of stochastic bridge processes are used to model the parameters of space-time channels, such as time delay, gains, direction-of-arrivals, etc. The Brownian bridge process, as a special example of stochastic bridge processes, is utilized to simulate the space-time characteristics both in the environment filled with scatterers randomly and in the special bounded propagation environment. The simulation results demonstrate that the direction-of-arrival of MPCs described by the elevation and the azimuth are slightly locally favorable in two propagation environment. Their distribution can not be regarded as uniform. And there is some regularity in the domain of elevation-azimuth-time delay.