A New Cooperative Spectrum Sensing Algorithm Based on Double Threshold

S185 the traditional double-threshold spectrum sensing algorithm cannot take full advantage of the information of cognitive users, in the paper, we proposed an adaptive-step in turn combination cooperative spectrum sensing technique considering double-threshold. When the signal energy received by cognitive users falls into the mid-value of the two thresholds, our algorithm sends information to the fusion center rather than giving the judgement result directly. In accordance with the change of Signal-to-Noise Ratio received by cognitive users, the number of cognitive users can be adjusted automatically in order to decrease the system overhead in the cognitive radio network. Simulation result shows that the detection probability of our method is higher than the traditional double-threshold spectrum sensing algorithm. Moreover, the average data overhead to the fusion center is reduced compared to the traditional equal gain combining (EGC) cooperative spectrum sensing method.