Spectrum sensing method based on goodness of fit test using chi‐square distribution | Zendy

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

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Spectrum 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 , chi square test , statistics , distribution (mathematics) , square (algebra) , mathematics , test (biology) , spectrum (functional analysis) , computer science , mathematical analysis , physics , geology , quantum mechanics , paleontology , geometry

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.

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