1.College of Information Engineering，Zhengzhou Institute of Science and Technology，Zhengzhou Henan 450064，China;2.CPC Kaifeng Municipal Party School，Kaifeng Henan 475001;3.College of Computer and Information Engineering，Henan University， Kaifeng Henan 475004，China;4.Henan Key Laboratory of Big Data Analysis and Processing，Henan University， Kaifeng Henan 475004，China;5.Henan Engineering Research Center of Intelligent Technology and Application，Henan University， Kaifeng Henan 475004，China
In view of the problem of low computational efficiency in multi-mode Synthetic Aperture Radar(SAR) imaging processing, a parallel acceleration method is proposed for multi-mode SAR imaging based on Graphic Processing Unit(GPU). In order to make full use of GPU's memory resources and improve the efficiency of the algorithm, in the parallel computing part of the algorithm, the large-scale data parallel is carried out in the matrix transposition and matrix multiplication by using shared memory. The experimental results show that the algorithm greatly improves the efficiency of multi-mode SAR imaging, and the maximum acceleration ratio reaches 55.62, which solves the problem of low utilization of GPU.
白澜,魏仁乐,郭拯危,赵建辉,李宁.基于GPU的多模式SAR成像加速研究[J]. Journal of Terahertz Science and Electronic Information Technology ,2023,(8):1037~1042Copy