Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

High-speed Real-time Spectrum Analysis System Based on FPGA and GPU Parallel Arithmetic

Authors
Jingye Chen, Ziyu Li, Lei Chen, Junying Xu
Corresponding Author
Jingye Chen
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.215How to use a DOI?
Keywords
real-time spectrum analyzer, FPGA; GPU, parallel computing.
Abstract

In this paper, a high-speed real-time spectrum analysis system based on GPU parallel computing was developed for the real-time requirements in the application environment of satellite communication spectrum monitoring. The system adopts high-speed ADC and high-performance FPGA as real-time signal acquainting and processing platform and uses high-performance server and GPU as signal analyzing and identifying platform. By using advanced signal processing and recognition algorithms, automatic monitoring and real-time alarms of the spectrum were realized, and this improved communication quality.

Copyright
© 2016, 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 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/icmmct-16.2016.215
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.215How to use a DOI?
Copyright
© 2016, 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  - Jingye Chen
AU  - Ziyu Li
AU  - Lei Chen
AU  - Junying Xu
PY  - 2016/03
DA  - 2016/03
TI  - High-speed Real-time Spectrum Analysis System Based on FPGA and GPU Parallel Arithmetic
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1090
EP  - 1093
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.215
DO  - 10.2991/icmmct-16.2016.215
ID  - Chen2016/03
ER  -