Through-the-Wall Radar Super-Resolution Imaging Based on Cascade U-Net
Shaoyin Huang, Jiang Qian, Yong Wang, Xiaobo Yang, Lei Yang · 2019
High-resolution radar imaging will give us detailed information of target, which becomes basic function of radar systems. Improvement of image resolution of the existing radar system is also important. Based on deep learning, a new method for super-resolution through-the-radar imaging is proposed. A network, called cascade U-net (CU-net), is proposed in this paper. The results of simulation and real data experiments demonstrate the effectiveness of our methods.