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5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Fuzzy logic based signal classification with cognitive radios for standard wireless technologies

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  • @INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9239,
        author={Kaleem Ahmad and Uwe Meier and Halina Kwasnicka},
        title={Fuzzy logic based signal classification with cognitive radios for standard wireless technologies},
        proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2010},
        month={9},
        keywords={Frequency measurement Frequency shift keying Object recognition Power measurement Wireless LAN},
        doi={10.4108/ICST.CROWNCOM2010.9239}
    }
    
  • Kaleem Ahmad
    Uwe Meier
    Halina Kwasnicka
    Year: 2010
    Fuzzy logic based signal classification with cognitive radios for standard wireless technologies
    CROWNCOM
    IEEE
    DOI: 10.4108/ICST.CROWNCOM2010.9239
Kaleem Ahmad1,*, Uwe Meier1,*, Halina Kwasnicka2,*
  • 1: Institute Industrial IT, OWL University of Applied Sciences, 32657 Lemgo, Germany
  • 2: Wrocław University of Technology, 50-370 Wrocław, Poland
*Contact email: kaleem.ahmad@hs-owl.de, uwe.meier@hs-owl.de, halina.kwasnicka@pwr.wroc.pl

Abstract

Cognitive radio (CR) is being considered as a promising technology to improve the spectral usage and coexistence behavior of radio systems. The CR can work as a secondary user (SU) in coexistence with primary user (PU) systems without generating harmful interference for them. However, the performance of a SU greatly depends on its abilities to become aware of its radio environment. The more knowledge a CR can acquire from PU systems, the better it will be equipped to optimize its performance in a coexistence environment. Ideally, it would like to classify the PU systems with respect to existing `known standards'. Research has been done in the area of signal classification with respect to modulations. We present a novel approach based on fuzzy logic (FL) to classify signals with respect to standards on the basis of known radio parameters.

Keywords
Frequency measurement Frequency shift keying Object recognition Power measurement Wireless LAN
Published
2010-09-16
Publisher
IEEE
http://dx.doi.org/10.4108/ICST.CROWNCOM2010.9239
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