Spectrum sensing based on goodness of fit test with unilateral alternative hypothesis
Several classical goodness of fit (GoF) tests have been used in spectrum sensing. A new GoF test with a unilateral alternative hypothesis for spectrum sensing is proposed. The new test statistic is derived and extended to the case of finite samples. It is shown that the proposed spectrum-sensing method provides improvement in performance and reduction in computational complexity.
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