Cyclostationary Detection Based on Non-cooperative spectrum sensing in cognitive radio network

Cognitive radio is an innovative technology which seeks to provide a new way to extend utilization of available spectrum. The spectrum detection is an essential problem for cognitive radio. Spectrum sensing is an efficient way to detect spectrum holes in cognitive radio network. In this paper, we present cyclostationary Detection Based on Non-cooperative spectrum sensing in cognitive radio network. The simulation result was solely based on the software Matalab and the performance of this method of detection is represented through the ROC curves. The results obtained through the figures, demonstrate that the method cyclostationary presented a good performance despite the low value of SNR and it is more resistant to noise uncertainty than other methods.