Open AccessSpectrum 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 , monte carlo method , statistics , signal to noise ratio (imaging) , spectrum (functional analysis) , ratio test , maximum likelihood , mathematics , energy spectrum , algorithm , computer science , physics , quantum mechanics , nuclear physics
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.