Acquisition method of spread spectrum signals based on GPU acceleration

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To meet the strict requirements of acquisition time under conditions of high dynamic and low CNR, an acquisition method of spread spectrum signals based on GPU acceleration has put forward through the combination of the spread spectrum signal acquisition and GPU parallel computing. Taking the frequency domain parallel acquisition algorithm based on FFT as the base, this method uses the synergetic hardware platform of CPU and GPU by CUDA programming. CPU is used to realize the reading and implementing of intermediate frequency signal data while GPU guarantee the core algorithm's parallel realization. At last, this paper compares the method with the acquisition method realized by only CPU, and the result shows the acquisition speed by the former is six to seven times higher than that by the latter, which ensures the real-time processing of spread spectrum signals.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages728-732
Number of pages5
ISBN (Electronic)9781479952748
DOIs
StatePublished - 15 Dec 2014
Event2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014 - Guilin, Guangxi, China
Duration: 5 Aug 20148 Aug 2014

Publication series

Name2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014

Conference

Conference2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014
Country/TerritoryChina
CityGuilin, Guangxi
Period5/08/148/08/14

Keywords

  • Acquisition algorithm
  • GPU acceleration
  • Parallel Computing
  • Spread Spectrum Signals

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