| 基于GPU的脉冲压缩并行化研究 |
| |
| 引用本文： | 顾文恺.基于GPU的脉冲压缩并行化研究[J].航空计算技术,2017,47(2). |
| |
| 作者姓名： | 顾文恺 |
| |
| 作者单位： | 海军装备部,陕西 西安,710000 |
| |
| 摘 要： | 在雷达数字脉冲压缩实时信号处理中,常需要每秒完成几亿甚至几百亿次的运算,采用能够专注于执行高度线程化并行任务的GPU实现脉冲压缩具有重要意义.根据线性调频信号和匹配滤波器理论基础,提出了基于GPU的脉冲压缩并行化实现方法.测试结果表明,基于GPU的脉冲压缩并行化方法相对于CPU有百倍以上的加速比.
|
| 关 键 词： | GPU CUDA 脉冲压缩 加速比 相关 |
Study on Parallel Pulse Compression Based on GPU |
| |
| GU Wen-kai.Study on Parallel Pulse Compression Based on GPU[J].Aeronautical Computer Technique,2017,47(2). |
| |
| Authors: | GU Wen-kai |
| |
| Abstract: | In radar digital pulse compression and real-time signal processing,often require hundreds of millions or even tens of billions of times per second to complete the operation,which can focus on the execution of highly threaded parallel tasks GPU has important significance for realizing pulse compression.In this paper,based on the theory of linear frequency modulated signal and matched filter,a method of parallel implementation of pulse compression based on GPU is proposed.The test results show that the GPU based pulse compression parallelization method has more than 100 times speedup compared with CPU. |
| |
| Keywords: | GPU CUDA pulse compression speed ratio related |
| 本文献已被 万方数据 等数据库收录！ |
|
