基于GPU的并行MSD算法研究  

Research on Parallel MSD Algorithm Based on GPU

作　　者：李梓博 单福悦[1] 高宁[1] 

机构地区：[1]中国人民解放军63778部队

出　　处：《无线电工程》2016年第3期26-29,共4页Radio Engineering

摘　　要：通用计算机的遥测信号处理系统通用性、灵活性强,不受硬件平台限制,便于开发、升级和维护,能够有效克服传统硬件平台的不足。多符号检测(MSD)算法性能优良,具有计算量大、并行度高的特点,适合在通用计算机上进行处理。针对如何提高处理速度,在通用计算机平台上研究基于图形处理器(GPU)的并行MSD算法,通过使用GPU对MSD算法并行加速,提高算法运算效率。实验结果表明,在同样条件下,基于GPU的并行MSD算法较串行算法最大可提速约134倍,能够有效提高处理速度。The telemetry signal processing system based on general-purpose computer has multiple advantages which can effectively overcome the shortcomings of current hardware devices,such as high versatility and flexibility,low cost,no limits of hardware platform,and easy upgrade and maintenance. The multi-symbol detection（ MSD） algorithm has such characteristics as large computing and high parallelism and better performance,and it is suitable for processing on a general-purpose computer. For the method to improve processing efficiency,this paper studies parallel MSD algorithm based on GPU on general-purpose computer platform. The results show that the processing speed of parallel MSD algorithm is about 134 times higher than sequential algorithm.

关 键 词：PCM/FM解调 多符号检测 GPU 并行计算 

分 类 号：V556.1[航空宇航科学与技术—人机与环境工程]