中文摘要：

超宽带穿墙雷达因为反恐、灾后救援等方面的迫切需要而成为近年来的一个研究重点。传统的超宽带成像算法在目标识别能力及计算效率上已不能满足其要求。基于逆边界散射变换的SEABED成像算法可以完成对目标边界快速成像,但是墙体的存在使其在穿墙雷达应用中受到限制。该文考虑到墙体的影响,在SEABED算法基础上提出一种新的适用于超宽带穿墙雷达的包络线算法,该算法通过计算从回波中提取的准波前所对应的曲线簇的包络线来完成目标边界成像。利用FDTD数值仿真实现了对隐藏在墙后目标的二维成像,验证了算法的有效性,并分析了墙壁对目标定位误差的影响。

英文摘要：

The Ultra-WideBand Through-Wall Radar （UWB TWR） has become a keen research topic in recent years because of the urgent needs of counter-terrorism and calamity rescue, etc. Conventional UWB imaging algorithm can not meet the demand in the capability of targets recognition and calculation efficiency. The Shape Estimation Algorithm based on the Boundary scattering transform and Extraction of Directly scattered waves （SEABED） can be used to reconstruct target shape, but it is restricted by the presence of the wall in the application of TWR. In this paper, a novel envelop curve algorithm is presented to adapt to the special conditions in TWR. To realize imaging of the target boundary, the algorithm extracts the quasi wavefront from the received signals and computes the envelop curve of a group of circles. FDTD numerical simulations validate that the algorithm can be used to obtain two-dimensional images of targets behind walls. The position error by the influence of the walls is also analyzed.