  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.
