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This paper proposes a sequential spectrum sensing detector based on the Kolmogorov-Smirnov test. The Kolmogorov-Smirnov test is the most widely applied goodness-of-fit test for continuous data. It exploits the largest absolute difference between the empirical cumulative distribution function and the null cumulative distribution function to decide whether the observed samples are drawn from the assumed...
A new approach to spectrum sensing in cognitive radio systems based on the Kolmogorov-Smirnov (K-S) test is proposed. The K-S test is a non-parametric method to measure the goodness of fit. The basic procedure involves computing the empirical cumulative distribution function (ECDF) of some decision statistic obtained from the received signal, and comparing it with the ECDF of the channel noise samples...
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