Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

A Spectrum Analysis Algorithm Based on GPU

Authors
Kunyuan Xu, Yanhua Jin, Fangyuan Zhao, Haoran Ma
Corresponding Author
Kunyuan Xu
Available Online February 2018.
DOI
10.2991/csece-18.2018.2How to use a DOI?
Keywords
GPU spectrum analysis; parallel computing; mixed base FFT;STFT
Abstract

Considering the requirement of spectrum analysis, the parallel spectrum analysis algorithm is designed for a software radio platform built on the spectrum analyzer, where CPU is the controller and GPU is the baseband processor. The software platform is combined with the GPU processor, making it possible that the data required massive calculation in the RF collector is transferred to the GPU to process, which has the ability of powerful parallel computing. The key part of this paper is the parallel optimization of mixed-radix FFT algorithm and STFT algorithm, in which the data memory and memory allocation are also improved. Results show that the simulation via CUDA programming is superior than CPU processing.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
10.2991/csece-18.2018.2
ISSN
2352-538X
DOI
10.2991/csece-18.2018.2How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kunyuan Xu
AU  - Yanhua Jin
AU  - Fangyuan Zhao
AU  - Haoran Ma
PY  - 2018/02
DA  - 2018/02
TI  - A Spectrum Analysis Algorithm Based on GPU
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 5
EP  - 9
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.2
DO  - 10.2991/csece-18.2018.2
ID  - Xu2018/02
ER  -