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采用向量内积的并行相关算法

牟卫华 倪少杰 白洋 孙广富 欧钢

国防科技大学学报2017,Vol.39Issue(5):50-55,6.
国防科技大学学报2017,Vol.39Issue(5):50-55,6.DOI:10.11887/j.cn.201705009

采用向量内积的并行相关算法

Parallel correlation algorithm based on vector dot product

牟卫华 1倪少杰 2白洋 1孙广富 3欧钢1

作者信息

  • 1. 国防科技大学电子科学学院,湖南长沙410073
  • 2. 北斗卫星导航产品2301质量检测中心,湖南长沙410073
  • 3. 空军工程大学装备管理与安全工程学院,陕西西安710051
  • 折叠

摘要

Abstract

For solving the real-time problem of the software correlator,a parallel receiving model of spread spectrum signal based on vector dot product was proposed.The calculation speed of the signal correlation was improved by parallel computing correlation value of each channel with a large number of ALU in GPU (graphics processing unit).Simulation results show that,25 channels with 150 correlation computation consume 967 μs in all for 1 ms signal of 25 MHz sampling rate by using the vector dot product parallel correlation algorithms based on GPU.Compared with the implementation on CPU based on M KL(math kernel library),the proposed method speeds up to 61.4 times,and the real-time correlation of the broadband spread spectrum signals in software can be realized.

关键词

相关器/向量内积/软件接收机/并行计算/图形处理单元

Key words

correlator/vector dot product/software receiver/parallel computing/GPU

分类

信息技术与安全科学

引用本文复制引用

牟卫华,倪少杰,白洋,孙广富,欧钢..采用向量内积的并行相关算法[J].国防科技大学学报,2017,39(5):50-55,6.

基金项目

国家自然科学基金资助项目(41604016) (41604016)

国防科技大学学报

OA北大核心CSCDCSTPCD

1001-2486

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