Multipath exploitation in sparse scene recovery using sensing-through-wall distributed radar sensor configurations

In this paper, we consider multipath exploitation and sparse reconstruction in a network of distributed multistatic radar units for stationary target localization behind walls. Multipath exploitation leverages prior information of the indoor scattering environment to eliminate ghosts targets. However, uncertainties in interior wall positions severely impair the effectiveness of multipath exploitation. We develop a multipath signal model for the distributed radar network configuration, which parameterizes the wall locations, and perform joint optimization for simultaneously recovering the target and wall positions. Supporting simulation results are provided, which validate the effectiveness of the proposed method.