异构环境下的多子阵合成孔径声纳距离多普勒成像算法

iming to solving the low efficiency imaging of multi-array synthetic aperture sonar, a fast imaging method for multi-array synthetic aperture sonar in heterogeneous environment is proposed. Considered the range Doppler algorithm characteristic for multi-array synthetic aperture sonar and different calculation features between CPU and GPU, the intensive calculation such as range compression, phase compensation, range cell migration compensation and azimuth compression is implemented on GPU, which greatly enhances the imaging efficiency for multi-array synthetic aperture sonar. In the end, the validity and efficiency of the proposed method are verified through the imaging experiment performed on real data and the speedup is up to 14.45 times compared to the serial algorithm.