UWB signature analysis for detection of body-worn weapons

Presented work is dedicated to the study of innovative principles, which can be used for the remote detection of concealed, body-worn weapons & explosives (CW&E). The approach is based on the analysis of the late time response (LTR) of the human body illuminated by a UWB signal: if CW&E are attached to the body it will essentially influence the LTR characteristics. A set of LTR parameters represents the unique signature of target. Our aim here is to demonstrate the ability of the developed approach to extract and to interpret the signature. In order to validate a feasibility of the approach analytical consideration, full-wave modeling and initial experiment have been implemented and results have been compared