Abstract
This article presents a statistical approach called hypothesis testing for Cognitive Radio systems. Hyposthesis tests have a wide range of applications from detection theory to radar systems. Hypothesis testing is frequently used in Cognitive Radio systems, which are the solution to the spectrum shortage problem today. Hypothesis testing in Cognitive Radio systems is the basis of spectrum detection. By means of hypothesis testing, spectrum gaps are determined so that spectrum gaps are opened to different users' access. In this study, a fuzzy hypothesis test based spectrum detection method is proposed with the signal detected by Cognitive Radio users. Theoretical bases and simulation results of the proposed spectrum detection model are also given. Simulation studies prove the computational cost advantage and detection performance success of the proposed detection method.
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