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Blind Spectrum Sensing Based on Cyclostationary Feature Detection

  • Luis Miguel Gato
  • Liset Martínez
  • Jorge TorresEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9423)

Abstract

Cognitive Radio has emerged as a promising technology to improve the spectrum utilization efficiency, where spectrum sensing is the key functionality to enable its deployment. This study proposes a cyclostationary feature detection method for signals with unknown parameters. We develop a rule of automatic decision based on the resulting hypothesis test and without statistical knowledge of the communication channel. Performance analysis and simulation results indicate that the obtained algorithm outperforms reported solutions under low SNR regime.

Keywords

Cognitive radio Cyclostationarity Feature detection Blind spectrum sensing 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Luis Miguel Gato
    • 1
  • Liset Martínez
    • 1
  • Jorge Torres
    • 1
    Email author
  1. 1.Department of Telecommunications and TelematicsJosé Antonio Echeverría, Superior Polytechnic InstituteHavanaCuba

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