自旋目标高效参数化超分辨成像研究

An Effective Super-resolution ISAR Imaging Method for Spinning-target

给出一种自旋目标高效参数化超分辨成像方法,该方法不仅能对高速自旋目标超高分辨二维成像,而且该算法得到的二维图像分辨率高、旁瓣低,运算量仅为原来的1/4。首先,通过对宽带回波去冗余信息处理来大大减少运算量;其次,基于Burg谱估计算法对每个去冗余的宽带回波进行频谱外推,从而提高分辨能力;再次,对自旋目标运动参数进行估计;最后,利用基于反投影成像技术对高速旋转目标稳健二维成像,理论仿真和实测数据都验证了其成像效果和运算效率。

An effective super-resolution ISAR imaging method is presented for high speed spinning-target, which not only obtains super-resolution images with low sidelobe, but also does compute quickly. Firstly, in order to reduce computalion, down-sampling is performed to the wideband echo. Secondly, the Burg spectral-estimation is used to get extrapolated data, and high range resolution can be obtained by pulse compression; then, we estimate the motion parameters of speed spinning-target. Finally, robust ISAR images are produced by using back-projection reconstruction method for speed spinning-target. The simulated data and real data demonstrate the validity of the method proposed.