Radar performs target detection by transmitting electromagnetic waves and reflecting them on obstacles. It is widely utilized in military, rescue and other occasions because of the advantages beyond visual range and not restricted by lighting conditions. Since electromagnetic waves have different penetrating capabilities in different frequency bands, it is possible to penetrate the wall to image the life target on the other side of the wall by selecting the appropriate frequency band. When multiple micro-moving targets are detected by life-detection radar, the targets are lost in the image due to the mutual occlusion of the targets. In this paper, a multi-target imaging method based on multi-station radar is proposed. Two stepped-frequency continuous waves (SFCW) MIMO radars detect targets by forming multiple-stations to obtain multi-directional scattering information of targets. A target image is obtained based on a back-projection (BP) image algorithm, and three image fusion methods of information weighted image fusion, fuzzy logic image fusion and M-N-K detector image fusion are adopted to generate the images of multiple micro-moving targets, including occluded targets. In the experiment, the three image fusion methods are analyzed separately, and the experimental results show that the three methods can effectively recognition the occluded targets.
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