Experimental study of real-time human imaging using UWB Doppler radar interferometry

This study presents an algorithm for imaging humans with Ultra Wide-Band (UWB) Doppler radar and experimental examples of its application. The proposed algorithm estimates the scattering centers using interferometry. Furthermore, we propose a false image rejection method with velocity information. Our experiments, which assume a pedestrian, show that the proposed algorithm is capable of imaging humans in a realistic environment. In addition, we discuss the real-time performance of the proposed imaging algorithm. The time variations for the estimated image indicate that pedestrian identification can be realized even using real-time data.