Cooperative Spectrum Sensing Based on SNR Comparison in Fusion Center for Cognitive Radio

Spectrum sensing is a key technology in cognitive radio. Result of cooperative spectrum sensing depends on credibility of local spectrum sensing. But there is a lack of considering it in current schemes. In this paper, we think that different cognitive nodespsila SNRs lead to different reliability of each nodepsilas local sensing results. Firstly, we analyze the effects of cognitive nodespsila SNRs on cooperative sensing. And we propose a cooperative spectrum sensing algorithm based on SNR comparison in fusion center for cognitive radio. Numerical analysis and computer simulation suggest that the scheme greatly increase the probability of detection and reduce the node number to participate in decision fusion.