基于属性散射中心模型,提出一种稳健而快速的SAR超分辨成像算法,在超分辨的同时能够考虑到目标的整体结构.首先利用改进的正交匹配追踪算法(OMP)对简化的属性散射中心模型进行参数估计,然后基于估计的模型参数在信号重构时进行二维频谱外推实现SAR超分辨成像.该算法具有较高的运算效率,相对于传统基于点散射模型超分辨算法,能够有效解决部件不连续的问题,并且初始指向角的利用可以取得良好的聚焦效果.仿真实验验证了该算法的优越性.
To characterize physical properties of a scattering object, a steady and fast algorithm of super-resolution SAR imaging is proposed based on attribute scattering center in this paper. An improved Orthogonal Matching Pursuit (OMP) algorithm is utilized to estimate the parameters of simplified attribute scattering center model. Based on the model parameters, two-dimensional spectrum extrapolation is preformed in signal reconstruction to achieve super-resolution SAR imaging. The method has fast computational efficiency and can accurately describe the physical structure compared with the traditional super-resolution algorithm based on the point scattering model. In addition, the initial orientation angle can be used to achieve a better focusing performance. The simulation results validate the superiority of the proposed algorithm.