Blind detection of cyclostacionary signals taking advantage of cyclic spectrum leakage

In this article we describe a novel process for blind detection in spectrum sensing taking advantage of the cyclostationary features of any digital modulation that uses a finite number of distinct signals to represent digital data. Traditional models only look at any peak in a cyclic spectrum that satisfies a given threshold, in this method we take advantage of the cyclic spectrum leakage to identify a signal. This method shows better performance at detecting low SNR signals than the traditional cyclostationary signal detection.