Abstract
In this paper, we propose and evaluate a novel algorithm for performing spectrum sensing on linear modulations based on second-order cyclic features of the received signals. The proposed approach has similar computational complexity to that of energy detection and outperforms energy detection and other sensing schemes such as Eigenvalue based sensing in the presence of noise uncertainties for a given value of the probability of false alarm.
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