CS based wall ringing and reverberation mitigation for through-the-wall radar imaging

Wall ringing and reverberation pose a challenging problem for through-the-wall radar image formation algorithms. We propose a novel method based on compressive sensing (CS) that enables high reconstruction quality combined with efficient data collection. A joint wall reverberation and target model is developed and the reconstructed scene is obtained based on a group sparse CS approach. Thus, the wall returns can be separated from the target returns resulting in a clean image. We demonstrate the performance using simulation results.