DETECTION OF GEOMETRICALLY KNOWN TARGETS IN THROUGH-THE-WALL RADAR IMAGING

We consider the problem of detecting targets behind walls using radar imaging technology. An image-domain based detection technique is proposed that allows to adapt to specific targets of interest. By doing so, clutter as well as targets of no-interest are strongly reduced in the radar image. The proposed detector is automatic in the sense that no or only little prior knowledge on the image statistics is required. The detection procedure is detailed, including the choice of suitable optimality criteria. The evaluation of the proposed technique is performed using data collected from Through-the-Wall radar imaging experiments whereby we specifically consider on the detection of humans.