This document outlines an approach for detecting body-worn explosives using radar. It describes modeling the detection system using FDFD and simulating different configurations. An experiment is described that uses a scanning beam radar module to obtain range profiles of targets at various positions and orientations. The signal processing methods are discussed, including using limited views of the target and an ellipse fitting algorithm to classify targets as threats or non-threats based on their time response characteristics. The results show multiple ISAR image features can distinguish threats, and the ellipse algorithm was successful in most cases. Improving the aperture size and reducing phase noise could enhance the resolution and performance of the system.