A beamforming approach to imaging of stationary indoor scenes under known building layout

In this paper, we exploit a priori knowledge of building layout for imaging of stationary scenes associated with through-the-wall radar imaging and urban sensing. More specifically, the support of the part of the image corresponding to the exterior and interior walls is assumed known. This information may be available either through building blueprints or from prior surveillance operations. The contributions of the exterior and interior walls are removed from the data through use of projection matrices, which are determined from wall specific dictionaries. The wall-free data is then processed by delay-and-sum beamforming to obtain the image of the stationary indoor scene. Numerical electromagnetic data is used to demonstrate the effectiveness of the proposed approach.