Compressive sensing based specular multipath exploitation for through-the-wall radar imaging

Multipath propagation can create ghost targets that severely affect the reconstruction quality of through-the-wall radar images. We propose a compressive sensing (CS) based reconstruction method, which inverts a specular multipath model through exploitation of the structured sparsity in the scene. This allows suppression of the ghost targets and increased signal-to-clutter ratio at the target locations, leading to `clean´ images of stationary scenes. Simulation results demonstrate the effectiveness of the proposed approach.