现有的雷达成像超分辨算法是基于目标回波信号的二维正弦信号模型，所以模型误差，特别是距离走动误差，将使算法性能严重下降或失效、为此，本文采用距离走动误差下的一阶近似雷达成像二维信号模型，提出了一种基于非线性最小二乘准则的参数化超分辨算法在算法中，距离走动误差补偿与目标参量估计联合进行文中同时给出了算法估计性能的Cramer－Rao界及仿真结果 The existing radar imaging super-resolution algorithm is based on the two-dimensional sinusoidal signal model of the target echo signal. Therefore, the model errors, especially the walking error, will seriously deteriorate or invalidate the performance of the algorithm. For this reason, First-order approximation radar imaging two-dimensional signal model, a parametric super-resolution algorithm based on nonlinear least squares criterion is proposed in this paper. In the algorithm, distance walk error compensation and target parameter estimation are combined in this paper. At the same time, Cramer-Rao bounds and simulation results