论文部分内容阅读
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 efficient parameterized super-resolution imaging method for spin targets is proposed. This method not only can super-resolution two-dimensional imaging of high-speed spin targets, but also has high resolution, low sidelobe and computational complexity For the original 1/4. First of all, the amount of computation is greatly reduced by removing the redundant information from the broadband echo. Secondly, based on the Burg spectral estimation algorithm, the spectral extrapolation of each de-redundant broadband echo is performed to improve the resolving power. Thirdly, The target motion parameters are estimated. Finally, the robust two-dimensional imaging of the high-speed rotating target based on the backprojection imaging technology is carried out, the theoretical simulation and the measured data verify the imaging effect and computational efficiency.