基于OpenMP的高效多子阵合成孔径声呐距离多普勒成像算法

为充分利用多核CPU计算资源解决多子阵合成孔径声纳成像效率低的问题，提出了一种共享内存环境下的距离多普勒成像算法并行解决方案。在分析多子阵合成孔径声纳距离多普勒成像算法并行性的基础上，对算法中预处理、距离向脉冲压缩、固定相位补偿、距离徙动校正和方位向脉冲压缩进行了OpenMP并行化设计，充分利用多核CPU计算资源实现了大数据量合成孔径声纳图像快速重构。对实测数据的成像实验结果表明，并行成像算法加速比高达19.86，满足实时合成孔径声纳系统成像需求。

Efficient range doppler imaging algorithm for multi-array synthetic aperture sonar based on OpenMP

An efficient range Doppler imaging algorithm for multi-array synthetic aperture sonar (SAS) in shared memory environment based on OpenMP is proposed, which solves the imaging problem of low efficiency by multi-core CPU resources. Considered the parallel characteristic of range Doppler algorithm for multi-array SAS, The signal processing process have been parallelized such as preprocessing, range compression, phase compensation, range cell migration compensation and azimuth compression based on OpenMP, which greatly enhances 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.