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基于GPU的信号产生及脉冲压缩实现

金莉 孔文青 宋万杰

雷达科学与技术2017,Vol.15Issue(5):505-508,518,5.
雷达科学与技术2017,Vol.15Issue(5):505-508,518,5.DOI:10.3969/j.issn.1672-2337.2017.05.009

基于GPU的信号产生及脉冲压缩实现

Signal Generation and Pulse Compression Realization Based on GPU

金莉 1孔文青 1宋万杰1

作者信息

  • 1. 西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071
  • 折叠

摘要

Abstract

A signal processing scheme based on CPU+GPU heterogeneous parallel architecture is proposed in this paper.According to radar processing flow,the general computer uses CPU to complete data preparation and device initialization before kernel function starting,and control the task scheduling and load sharing of signal processing,then,the data will be transmitted through the PCI-E bus to the memory of GPU.The specific way of SIMT of GPU is used to achieve thread parallelization,and finally finish the LFM signal generation and pulse compression algorithm.A comparison with the algorithm realized on CPU is made.The experimental results show that the algorithm achieved by CUDA has higher efficiency than CPU.

关键词

计算统一设备架构/图形处理机(GPU)/线性调频信号/脉冲压缩

Key words

compute unified device architecture(CUDA)/graphical processing unit(GPU)/LFM signal/pulse compression

分类

信息技术与安全科学

引用本文复制引用

金莉,孔文青,宋万杰..基于GPU的信号产生及脉冲压缩实现[J].雷达科学与技术,2017,15(5):505-508,518,5.

基金项目

国家自然科学基金(No.61571349) (No.61571349)

雷达科学与技术

OA北大核心CSTPCD

1672-2337

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