Abstract: SAR image simulation of complex vehicle targets is very important to target recognition and SAR interpretation. The raw echo is obtained based on the CAD model of complex targets, and is processed with traditional RM algorithm. Then, sidelobe suppression method based on spectrum deformation is introduced to improve the quality of target image. The results show that this method is useful to improve image quality.

Key words: Synthetic Aperture Radar（SAR） imaging, range migration algorithm, spectrum deformation, sidelobe suppression, vehicle targets

摘要： 复杂车辆目标的SAR图像仿真，对于目标识别与解译的理论研究和实际应用具有十分重要的意义。针对复杂目标CAD（Computer Aided Design）模型的扫频仿真RCS数据，在传统RM算法的基础上，引入基于谱变形的旁瓣抑制方法对目标模板图像进行精细化处理。实验表明，精细化成像结果的图像质量相对于原始成像结果得到了明显的改善。

关键词: 合成孔径雷达（SAR）成像, 距离徙动（RM）算法, 谱变形, 旁瓣抑制, 车辆目标