Identification and Imaging of Human and Animals behind the Wall Based on MIMO Radar

In practical applications, it is necessary to detect and locate living bodies, as well as to identify human and animal targets to improve the efficiency of rescue. To deal with the problem of positioning and identifying the living body, this article presents a recognition algorithm based on BP imaging for recognizing humans and animals behind the wall. The algorithm is mainly divided into the following steps. Firstly, the electromagnetic wave echo signal model is analyzed. A high-pass filter is then utilized to remove the frequency ingredients of the human in the echo to identify living bodies. Finally, the pixel value and focus delay are calculated based on the back-project (BP) algorithm to obtain the image of position of living bodies. The experimental results verify the effectiveness of the algorithm.