Spectrum sensing method based on likelihood ratio goodness-of-fit test

D. Teguig; V. Le Nir; B. Scheers

doi:10.1049/el.2014.3579

Spectrum sensing method based on likelihood ratio goodness-of-fit test

D. Teguig, V. Le Nir, B. Scheers

Radio Networks

Royal Military Academy

Research output: Contribution to journal › Article › peer-review

Abstract

A blind spectrum sensing method based on the goodness-of-fit (GoF) test using the likelihood ratio is studied. In the proposed method, the χ2 distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the GoF test using Anderson-Darling and the conventional energy detection tests in the case of a low signal-to-noise ratio.

Original language	English
Pages (from-to)	253-255
Number of pages	3
Journal	Electronics Letters
Volume	51
Issue number	3
DOIs	https://doi.org/10.1049/el.2014.3579
Publication status	Published - 5 Feb 2015

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10.1049/el.2014.3579

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abstract = "A blind spectrum sensing method based on the goodness-of-fit (GoF) test using the likelihood ratio is studied. In the proposed method, the χ2 distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the GoF test using Anderson-Darling and the conventional energy detection tests in the case of a low signal-to-noise ratio.",

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AB - A blind spectrum sensing method based on the goodness-of-fit (GoF) test using the likelihood ratio is studied. In the proposed method, the χ2 distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the GoF test using Anderson-Darling and the conventional energy detection tests in the case of a low signal-to-noise ratio.

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Spectrum sensing method based on likelihood ratio goodness-of-fit test

Abstract

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