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NEWCOM Special Session on Cognitive Radio/Networks and Related Issues

Research Article

Experimental Spectrum Sensing Measurements using USRP Software Radio Platform and GNU-Radio

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2014.255415,
        author={Amor NAFKHA and Malek NAOUES and Krzysztof CICHON and Adrian KLIKS},
        title={Experimental Spectrum Sensing Measurements using USRP Software Radio Platform and GNU-Radio},
        proceedings={NEWCOM Special Session on Cognitive Radio/Networks and Related Issues},
        publisher={IEEE},
        proceedings_a={NEWCOM SPECIAL SESSION},
        year={2014},
        month={7},
        keywords={sequential energy detector spectrum sensing cognitive radio cyclostationary feature detector compressive sensing usrp gnu-radio},
        doi={10.4108/icst.crowncom.2014.255415}
    }
    
  • Amor NAFKHA
    Malek NAOUES
    Krzysztof CICHON
    Adrian KLIKS
    Year: 2014
    Experimental Spectrum Sensing Measurements using USRP Software Radio Platform and GNU-Radio
    NEWCOM SPECIAL SESSION
    ICST
    DOI: 10.4108/icst.crowncom.2014.255415
Amor NAFKHA1,*, Malek NAOUES1, Krzysztof CICHON2, Adrian KLIKS2
  • 1: SUPELEC
  • 2: Poznan University of Technology
*Contact email: amor.nafkha@supelec.fr

Abstract

In cognitive radio, the secondary users are able to sense the spectral environment and use this information to opportunistically access the licensed spectrum in the absence of the primary users. In this paper, we present an experimental study that evaluates the performance of two different spectrum sensing techniques to detect primary user signals in real environment. The considered spectrum sensing techniques are: sequential energy and cyclosationary feature based detectors. An Universal Software Radio Peripheral platform with GNU-Radio is employed for implementation purpose. We analyzed the performances of both spectrum sensing methods by measuring the detection probabilities as a function of SNR for a given false alarm probability. As predicted theoretically, experimental measurements show that the cyclostationnary feature detector performs better than the sequential energy detector. However sequential energy detector can be used for reduction of sensing time in the presence of strong signals.

Keywords
sequential energy detector spectrum sensing cognitive radio cyclostationary feature detector compressive sensing usrp gnu-radio
Published
2014-07-23
Publisher
IEEE
http://dx.doi.org/10.4108/icst.crowncom.2014.255415
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