计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (26): 162-165.

• 图形、图像、模式识别 • 上一篇    下一篇

基于RM算法的车辆目标SAR精细仿真成像

杨岢铭1,王怀军2,李  禹1   

  1. 1.国防科学技术大学 电子科学与工程学院,长沙 410073
    2.空军装备研究院 雷达与电子对抗研究所,北京 100085
  • 出版日期:2012-09-11 发布日期:2012-09-21

SAR exact image simulation of vehicle targets based on range migration algorithm

YANG Keming1, WANG Huaijun2, LI Yu1   

  1. 1.School of Electric Science and Engineering, National University of Defense Technology, Changsha 410073, China
    2.Radar and Electronic Warfare Institue, Equipment Academy of Air Force, Beijing 100085, China
  • Online:2012-09-11 Published:2012-09-21

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

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