Open AccessSpectrum sensing method based on goodness of fit test using chi‐square distribution
Author(s) -
Teguig D.,
Le Nir V.,
Scheers B.
Publication year - 2014
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.2014.0302
Subject(s) - goodness of fit , cognitive radio , monte carlo method , test statistic , statistic , spectrum (functional analysis) , chi square test , pearson's chi squared test , statistics , energy (signal processing) , computer science , algorithm , mathematics , statistical hypothesis testing , telecommunications , wireless , physics , quantum mechanics
In cognitive radio, spectrum sensing is a challenging task. Proposed is a new spectrum sensing method based on the goodness of fit test of the energy of the received samples with a chi‐square distribution. The test statistic is derived and the performance of the proposed method is evaluated by Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the conventional energy detection method without increasing the complexity of the sensing.