
Detecting concealed small weapons carried by people has received significant interest from law enforcement agencies as well as the military, most frequently for application in controlling checkpoints (in airports, border crossings, public spaces, etc.). Imaging systems for concealed weapons based on radar or other sensor technologies have been recently developed and tested. Most of the existing electromagnetic (EM) sensors suitable for this application operate at very high frequencies, usually in the millimeter or terahertz frequency bands and produce high-resolution images. Although these EM waves can penetrate through clothing (textile materials), they have very poor penetration properties through many common construction materials (such as brick or concrete). Most through-the-wall radars must operate at much lower frequencies, usually below 4 GHz, in order to “see” targets behind walls. However, at those low frequencies, the image resolution is degraded, so small weapons carried by humans may be difficult to detect directly in the image domain.
Four types of targets were considered that are frequently present in a sensing-through-the-wall (STTW) scenario: walls, furniture objects, humans, and rifle-like weapons. The interest in detecting these targets usually increases from walls and furniture objects (which are considered clutter) to humans, and eventually weapons carried by humans. The cross-polarization signature of these targets also increases in the same order (from walls to weapons), whereas the co-polarization signature strengths follow the exactly opposite order. This suggests the use of the cross-polarization to co-polarization ratio as a good way to enhance the response from the most interesting targets (humans and weapons), while at the same time rejecting the clutter (walls and furniture in the scene). This metric can also be used as a discrimination tool in STTW imaging radar or Doppler radar.