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2016 (Vol. 13, Issue: 11)
Research Article

A New Adaptive Two Stage Spectrum Sensing Technique in Cognitive Radio System for Different Modulation Schemes

1Dr. Hadi T. Ziboon and 2Ahmed A. Thabit
1Department of Electrical Engineering, University of Technology
2Department of Communications Computers, AL-Rafidain University/College, Baghdad, Iraq

DOI: 10.19026/rjaset.13.3427
Submitted Accepted Published
September 12, 2016 November 15, 2016 December 05, 2016

  How to Cite this Article:

1Dr. Hadi T. Ziboon and 2Ahmed A. Thabit, 2016. A New Adaptive Two Stage Spectrum Sensing Technique in Cognitive Radio System for Different Modulation Schemes.  Research Journal of Applied Sciences, Engineering and Technology, 13(11): 856-863.

DOI: 10.19026/rjaset.13.3427

URL: http://www.maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.13.3427


The aim of this study is to suggests a new two stage spectrum sensing approach. More specifically, a fast spectrum sensing algorithm based on the energy detection is introduced. The proposed system deals with soft decision with multilevel threshold values. Also, constant value of false alarm probability is used to obtain the constant false alarm rate principles. Matlab simulation program is used to obtain the results. In order to evaluate the performance of the proposed adaptive cognitive radio detection system, different modulated digital signals are generated at low SNR values. These different levels of 2FSK, 4FSK, BPSK, QPSK, 8PSK, 4QAM, 16QAM, 64QAM and 256QAM are used together for the first time in this study. The obtained results show excellent performance for the proposed system due to their detection probability of 100% at -15dB for probability of false alarm is 0.1. Different message lengths with different noisy channels such as AWGN and fading are also examined. Numerical results indicate that better performance is achieved by proposed two stage sensing detection compared to the conventional energy detector of the published papers.

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    Competing interests

The authors have no competing interests.
    Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.


© The Author(s) 2016

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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