基于图像总变分最小化的穿墙雷达多层墙体成像方法

A Multi-layer Wall Imaging Method Based on the Minimization of the Total Variation of the Image

针对穿墙雷达多层墙体探测场景,文章提出了一种基于图像总变分最小化(Total Variation Minimization,TVM)的穿墙雷达多层墙体成像方法,成像重构过程中通过计算多层媒质的格林函数来构造字典矩阵,通过引入图像的TVM约束来实现成像重构。仿真结果表明所提成像算法不仅可以减少成像重建时间,而且可以较好地保留目标的几何形状和边缘,提高图像重建质量。

For the multi-layer wall detection scene of the radar passing through the wall,this paper proposes a multi-layer wall imaging method based on Total Variation Minimization(TVM)of the radar passing through the wall.In the process of imaging reconstruction,the dictionary matrix is constructed by computing the green function of the multi-layer media,and the image reconstruction is realized by introducing the TVM constraint of the image.Simulation results show that the proposed algorithm can not only reduce the time of image reconstruction,but also preserve the geometric shapes and edges of the target and improve the quality of image reconstruction.