合成孔径雷达成像处理的并行实现方法

A Parallel Implementation for Synthetic Aperture Radar Imaging

本文提出了一种实现合成孔径雷达（SAR）成像处理的并行距离／多普勒算法，该算法能有效地提高SAR的成像处理速度，是实现SAR实时成像处理的有效途径，该算法尤其适合于超级并行机（MPP）及工作站和微机构成的群机系统进行并行计算。实验结果表明该并行算法能有效地减少SAR成像处理的运算时间。最后给出了原始数据的成像结果。

An efficient parallel R/D algorithm for Synthetic Aperture Radar (SAR) imaging is presented in this paper The parallel algorithm is available for implementation SAR real-time imaging, and is especially suitable for parallel computation on Massive Parallel Processors (MPP) or on cluster computers which are composed of workstations and personal computers. The experimental results indicate that the parallel algorithm is significant for saving the SAR imaging time. Finally, a SAR imaging obtained by the parallel algorithm from raw data is also given.