TV-Driven MMW 3-D Radar Imaging of Non-line-of-sight Environments

Occluded target imaging is an important task in the fields of urban combat, autonomous driving, and anti-terrorism reconnaissance. However, traditional radar imaging techniques focus on line-of-sight (LOS) targets and do not consider the multipath echoes of occluded targets. For corner non-line-of-sight (NLOS) scenarios, this paper combines the synthetic aperture radar (SAR) imaging technique to utilize multipath echoes such as wall reflections for 3D imaging of occluded targets. NLOS echoes result in signal quality degradation due to wall reflections, and target edge information is prone to blurring. In this paper, a NLOS imaging method based on the Bregman framework is designed by utilizing the target edge feature extraction capability of the Toatl Variation (TV) regular operator. The method improves the imaging quality as well as the imaging efficiency. The experimental results show that the algorithm can obtain high-precision 3D images of occluded targets.