一种SAR成像快速算法及其并行实现

Fast algorithm for real time SAR imaging on a parallel processor

提出了一种新的实时合成孔径雷达成像快速算法,减少了合成孔径雷达成像中压缩处理的运算量.对任意长度的序列采用了填零 分解快速傅里叶变换方法,并优化了补零参数和分解方式,使得压缩处理算法的运算量最小化.此算法在并行多处理器上实现了合成孔径雷达实时成像,提高了成像处理速度,减少了成像迟延.

A novel fast algorithm for real time SAR imaging is presented to decrease the volume of compression computation. For any size sequence, a scheme and procedure for zero-padding-decomposition FFT are proposed and optimized to minimize computation operations. This algorithm lowers the computational volume of zero padding FFT in SAR imaging, improves the performance of real time SAR imaging on a parallel processor, increases the throughput and decreases the imaging delay.