Cramer-von Mises test based spectrum sensing for cognitive radio systems

Abstract

In this paper, Cramer-von Mises test is utilized to derive a novel sensing method called Cramer-von Mises test based spectrum sensing, in which the spectrum sensing is performed by comparing the probability distribution of the observations with the one of the noise. Furthermore, a sensing algorithm for unknown noise is also proposed for the case that the noise distribution is unknown to the cognitive terminals. It is shown by numerical results that under the same conditions, the proposed Cramer-von Mises test based spectrum sensing always outperforms the energy detection based spectrum sensing significantly, especially in low SNR regime and small number of observed samples.