Cooperative sensing of improved energy detector based on minimum Bayes risk

In cognitive radio networks, the improved energy detector is a very useful detector for the random signals corrupted by Gauss noise. In the single node sensing, we research the change of p values which has impacted on system performance under certain signal to noise ratio and obtain the optimal p values making the Bayes risk minimum. In the cooperative spectrum sensing, we use “K-out-of-N” rule and when the rule of K is a certain value, research the change of p values impact on the system performance, as well as the effect of system performance by changing K values. Theoretical analysis and simulation results show that the optimal K value, and p value are existed in cooperative spectrum sensing networks, contrast to the conventional energy detector improved energy detectors make system performance optimized.