Auto-focusing UWB radar imaging for moving human target using revised range point migration

摘要

We propose an ultra-wideband radar imaging algorithm that can be applied to moving targets with unknown speeds. The proposed method compensates for the motion of a human body to automatically generate focused images. The speed of the target is estimated using the image blurriness of the target's head. In the estimation of speeds, we use the revised range point migration, which is known to be a fast radar imaging algorithm. Measurement results showed that the proposed method generates high-quality images for moving targets. A mannequin and a handgun were assumed as targets, of which both were clearly imaged, indicating the applicability of the proposed method to security systems.