Performance comparison for low complexity blind sensing techniques in cognitive radio systems

In this paper, we will provide a straightforward classification of some spectrum sensing strategies derived at Eurecom attempting to show the diversity and advantages of these spectrum sensing techniques. Specifically, two low complexity blind sensing algorithms were developed to detect spectrum holes in the primary user´s bands: the distribution analysis detector (DAD) and the algebraic detector (AD), which are compared with the energy detector (ED) as reference algorithm. For performance evaluation we have chosen to thoroughly investigate the DVB-T primary user system. Simulation results show that the two proposed detectors offer high performances and detect primary users presence even at very low SNR with comparable complexity to ED.