基于OpenMP的高效多子阵合成孔径声呐距离多普勒成像算法.

This paper proposed an efficient range Doppler imaging algorithm for multi-array synthetic aperture sonar (SAS) in shared memory environment based on OpenMP, which solved the imaging problem of low efficiency by multi-core CPU resources. Considered the parallel characteristic of range Doppler algorithm for multi-array SAS, it parallelized the signal processing process such as preprocessing, range compression, phase compensation, range cell migration compensation and azimuth compression based on OpenMP, which greatly enhanced the reconstruction process of SAS image by multi-core CPU resources. The imaging test performed on real data shows that the speedup of the parallel imaging algorithm is up to 19. 86 times, which meets the demand for real-time processing of SAS imaging. [ABSTRACT FROM AUTHOR]