Stationary Human Target Detection Based on Millimeter Wave Radar in Complex Scenarios

Abstract

Millimeter wave radar has been widely used in target detection due to its high ranging accuracy and strong non-contact. Currently, most studies adopted breathing and heartbeat signatures to detect stationary human targets. However, this method requires long detection time and leads to low positioning accuracy. To this end, a novel fretting phase variation characteristics detection method based on millimeter wave radar is proposed to locate multiple stationary human targets in the practical scenarios. The experimental results show that the proposed method can accurately locate stationary human targets even if the targets are not directly in front of the radar.