AN SBR IMAGE APPROACH FOR INDOOR RADIO PROPAGATION IN A CORRIDOR

In this paper we will propose a deterministic approach to model the ra dio propagation channels in complex indoor environments. This techniqu e applies the SBR method to find equivalent sources (images) in each l aunched ray tube, and sums the receiving amplitude contributed by all images coherently. We verify our SBR/image approach by comparing the n umerical results in two canonical examples where closed-form solutions exist. The good agreement indicates that our method can provide a goo d approximation of high frequency radio propagation inside corridors w here reflection is dominant. In the special case of a curved corridor, which can not be solved by analytic methods, we find a ''focusing'' e ffect that at some certain point the receiver will receive high power, even though it is out of sight. This SBR/image method can be enhanced by including the wall penetration and wedge diffraction effects, and even more complicated indoor environments will be tackles in the near future.