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Improved energy detection spectrum sensing for cognitive radio

Improved energy detection spectrum sensing for cognitive radio

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Energy detection constitutes a preferred approach for spectrum sensing in cognitive radio owing to its simplicity and applicability (it works irrespective of the signal format to be detected) as well as its low computational and implementation costs. The main drawback, however, is its well-known detection performance limitations. Various alternative detection methods have been shown to outperform energy detection, but at the expense of increased complexity and confined field of applicability. In this context, this work proposes and evaluates an improved version of the energy detection algorithm that is able to outperform the classical energy detection scheme while preserving a similar level of algorithm complexity as well as its general applicability regardless of the particular signal format or structure to be detected. The performance improvement is evaluated analytically and corroborated with the experimental results.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
      • Ariananda, D.D., Lakshmanan, M.K., Nikookar, H.: `A survey on spectrum sensing techniques for cognitive radio', Proc. Second Int. Workshop on Cognitive Radio and Advanced Spectrum Management (CogART 2009), May 2009, p. 74–79.
    6. 6)
      • D. Noguet . Sensing techniques for cognitive radio – state of the art and trends.
    7. 7)
    8. 8)
    9. 9)
      • J.G. Proakis . (1995) Digital communications.
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • López-Benítez, M., Casadevall, F., Martella, C.: `Performance of spectrum sensing for cognitive radio based on field measurements of various radio technologies', Proc. 16th European Wireless Conf. (EW 2010), Special Session on Cognitive Radio, April 2010, p. 1–9.
    16. 16)
      • S. Shellhammer , G. Chouinard . Spectrum sensing requirements summary.
    17. 17)
      • M. Abramowitz , I.A. Stegun . (1964) Handbook of mathematical functions with formulas, graphs, and mathematical tables.
    18. 18)
    19. 19)
      • D. Blumenfeld . (2001) Operations research calculations handbook.
    20. 20)
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