Cooperative Spectrum Sensing Algorithm Based on Node Filtrating in Cognitive Radio Networks

摘要

The sensing result of cooperative spectrum sensing in cognitive radio significantly depends on the reliability of local detection, and signal-to-noise ratio (SNR) difference among secondary users leads to disparate reliability in local sensing. A novel cooperative spectrum sensing algorithm based on node filtrating (NF-CSS) is proposed in this paper, avoiding low SNR nodes being involved in the collaboration by decreasing the number of nodes. Simulation results showed the algorithm eliminates the influence of low SNR nodes and effectively improves system sensing performance under uneven distribution of SNRs.