A Blindly Cooperative Spectrum Sensing Algorithms Based On Linear Prediction For Cognitive Radio

Spectrum sensing is one of the main parts in cognitive radio. The performance of the adopted spectrum sensing method is very important. When the primary user and the cognitive radio are in operation simultaneously, performance of spectrum sensing is damaged. We propose to apply the linear prediction for the blind source separation algorithm as an alternative for more conventional techniques. Simulation results show that the proposed method is feasibility and enhance the spectrum sensing performance comparing to the energy detection method in all experiments when the cognitive radio is in operation.