摘要
该文提出一种基于图形处理器(GPU)的距离多普勒成像算法(RDA),为合成孔径声呐(SAS)的实时成像提供了新的途径。通过GPU平台上的并行方法进行距离向脉冲压缩、固定相位补偿和方位向脉冲压缩,显著提升了距离多普勒成像算法效率。仿真和实验结果表明:在满足成像分辨率的前提下,该文设计的基于GPU的并行RDA和CPU串行算法相比,加速比可达到22,满足实时SAS成像需求。
A Range Doppler imaging Algorithm(RDA) based on Graphic Processing Unit(GPU) is proposed, which is a new method of real-time imaging for Synthetic Aperture Sonar(SAS). The range compression, phase compensation and azimuth compression are implemented in parallel based on GPU device, which increases greatly the efficiency of Range Doppler Algorithm(RDA). The simulation and experimental results show that the GPUbased implementation is faster(up to 22 times) than the CPU-based implementation, which makes it suitable for real-time SAS imaging.
出处
《电子与信息学报》
EI
CSCD
北大核心
2014年第8期1899-1904,共6页
Journal of Electronics & Information Technology
基金
国家自然科学基金(41304015
61072092
61101205)
2110工程建设项目资助课题
关键词
合成孔径声呐
距离多普勒算法
图形处理器
并行计算
Synthetic Aperture Sonar(SAS)
Range Doppler Algorithm(RDA)
Graphic Processing Unit(GPU)
Parallel computing