基于RM算法的车辆目标SAR精细仿真成像OACSCDCSTPCD
SAR exact image simulation of vehicle targets based on range migration algorithm
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.
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.
杨岢铭;王怀军;李禹
国防科学技术大学电子科学与工程学院,长沙410073空军装备研究院雷达与电子对抗研究所,北京100085国防科学技术大学电子科学与工程学院,长沙410073
信息技术与安全科学
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
Synthetic Aperture Radar (SAR) imaging range migration algorithm spectrum deformation sidelobe suppression vehicle targets
《计算机工程与应用》 2012 (26)
SAR图像机动目标的典型现象学特性形成机理及鉴别处理研究
162-165,170,5
国家自然科学基金(No.61171135).
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