Compressive sensing technique for through-wall-radar imaging

Through-wall-radar imaging (TWRI) has an ability to see the target behind the wall, which is desirable for antiterrorism, rescue and law enforcement. In order to obtain high resolution images, ultra wide band signal and large synthetic aperture should be used, which inevitably increases measuring time. The emerging compressive sensing (CS) technique can recover a sparse signal from incomplete measurements. Due to sparse scene approximation, TWRI is converted into an optimization problem based on CS framework in this paper, which can dramatically reduce measuring time. Furthermore, simulation results are given to demonstrate the potentiality of CS technique for TWRI.