Triple-Threshold Cooperative Spectrum Sensing Algorithm Based on Energy Detection

摘要

Spectrum sensing is one of the key technologies of cognitive radio. Energy detection is widely used in spectrum sensing, but noise uncertainty and low signal-to-noise ratio seriously affects its detection performance. A system model based on noise uncertainty is established, and a cooperative spectrum sensing algorithm based on three-threshold is proposed. In the fusion center, the multiple-fusion criteria are used to classify the decision information uploaded by each node. The results of theoretical analysis and Monte-Carlo simulation show that this algorithm can effectively improve the spectrum sensing performance of the cognitive wireless network compared with the cooperative spectrum sensing algorithm based on double threshold.