聚束模式SAR连续缺失数据的高分辨成像方法

目前基于缺失数据的幅度相位估计算法(GAPES)的SAR成像算法都没有考虑距离徙动和相位误差问题而导致图像质量下降。该文提出一种基于GAPES的聚束模式SAR方位向连续缺失数据的高分辨成像方法。在处理过程中，通过对连续缺失数据2维插值实现距离徙动校正，然后利用稀疏数据投影近似子空间跟踪算法实现相位误差补偿，保证了图像的分辨率。仿真和实测数据的处理结果证明了该方法的有效性。

High-resolution Imaging for Spotlight Mode SAR from Gapped-data

The existing approaches with missing data for SAR by Gapped-data Amplitude and Phase EStimation (GAPES) ignore the range migration and phase error, which lead to the decrease of the imaging quality. An imaging method of gapped-data for spotlight mode SAR based on GAPES is presented. It can correct the range migration using two-dimensional interpolation, realize autofucus from sparse data by sparse project approximation subspace tracking algorithm, and ensure the resolution of the image. The simulations and real data processing results show the validity of the proposed approach.