Spectrum sensing method based on likelihood ratio goodness‐of‐fit test | Zendy

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

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Teguig D.,

Le Nir V.,

Scheers B.

Publication year - 2015

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

ISSN - 1350-911X

DOI - 10.1049/el.2014.3579

Subject(s) - goodness of fit , likelihood ratio test , statistics , maximum likelihood , mathematics , spectrum (functional analysis) , computer science , physics , quantum mechanics

A blind spectrum sensing method based on the goodness‐of‐fit (GoF) test using the likelihood ratio is studied. In the proposed method, the χ 2 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research