Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Implementation of Centralized Cooperative Spectrum Sensing Based on USRP

Authors
Yutang Fu, Zhigang Li, Dandan Liu, Qianli Liu
Corresponding Author
Yutang Fu
Available Online May 2014.
DOI
10.2991/lemcs-14.2014.217How to use a DOI?
Keywords
Energy Detection; USRP; Spectrum Sensing; Centralized Detection; GNU Radio
Abstract

In this paper, a system of centralized cooperative spectrum sensing is designed. Energy detection and cyclostationary feature detection are used by Secondary User. The stepping spectrum sensing function is used to sense and record the vacant spectrum around the location of SU and then the information is uploaded to the control center with its coordinate. This system can make a pre-judgment for SU based on the uploaded information. And when have SU need to make a communication, the SU can find the vacant spectrum fast depending on the data fusion. In this system, we use NI-USRP2920, USRP1 as the hardware platform and GNU Radio, LabVIEW and HDSDR as the software platform.

Copyright
© 2014, 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 International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
10.2991/lemcs-14.2014.217How to use a DOI?
Copyright
© 2014, 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  - Yutang Fu
AU  - Zhigang Li
AU  - Dandan Liu
AU  - Qianli Liu
PY  - 2014/05
DA  - 2014/05
TI  - Implementation of Centralized Cooperative Spectrum Sensing Based on USRP
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 964
EP  - 968
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.217
DO  - 10.2991/lemcs-14.2014.217
ID  - Fu2014/05
ER  -