表面粗糙的复杂目标全极化ISAR图像快速仿真

为了获取基于模板图像的车辆、飞机等复杂目标识别所需的海量高质量逆合成孔径雷达(ISAR)图像,提出了表面粗糙的复杂目标全极化ISAR图像快速仿真方法。该方法预先对车辆和飞机等复杂目标表面粗糙程度进行分级定量描述,并以改进的射线弹跳法和等效边缘流法快速预估来自目标粗糙表面的镜面反射和多次反射贡献以及细分边缘的绕射贡献,经相干叠加获得目标的精确电磁散射数据,最后进行成像处理得到高质量全极化ISAR图像。标准体、飞机和车辆目标的仿真实验结果验证了该方法的准确性和有效性。

Efficient full-polarized ISAR image simulation of complex target with rough surfaces

A novel fast evaluation simulation method of full-polarized inverse synthetic aperture radar (ISAR) image is introduced to construct a great number of high-quality ISAR templates required by radar automatic target recognition of complex target such as ground vehicles and aircrafts. Firstly, surface roughness of different parts for complex target is quantitatively described utilizing a roughness-grading-technique. Secondly, the specular and multiple reflection of rough surfaces in addition to that the edge diffraction of piece-wise edges is predicted by an efficiency-improved shooting-bouncing-ray and equivalent edge currents method, which is coherently accumulated to obtain the accurate far-field scattering fields of complex target. Finally, the high-quality full-polarized ISAR images are computed based on these fields. Experimental results of benchmarks, typical aircraft and ground vehicle validate the accuracy and efficiency of the proposed method.