中文摘要：

提出了一种前视SAR超分辨成像算法．方位维分辨通过安置线性阵列，采用“多发多收”的工作方式，通过波束形成技术得到较窄的发射波束以覆盖有限观测场景，利用目标的稀疏先验信息建立正则化问题，然后通过求解最优化问题实现超分辨成像．该算法在有限阵列长度的条件下可以获得更优的成像结果，有效降低了系统的成本和复杂度．仿真结果验证了该文分析的正确性和算法的有效性．

英文摘要：

A novel algorithm for super-resolution imaging based on the Compressive sensing theory for forward- looking SAR is proposed. Azimuth resolution is achieved by laying the practical linear array in a Multiple-Input and Multiple-Output mode. A narrow radiation pattern could be obtained using the beam-form technique to observe the small scene, which provides the sparsity prior of the SAR image. Then regularization is constructed by exploiting the sparsity prior and super-resolution could be realized by solving the optimization. Enhanced imaging resolution could be captured with a limited length of array, lowing the cost and complexity of the system. Numeric simulation results confirm the validation of the proposed algorithm.