Adaptive Double-Threshold Joint Spectrum Sensing Based On Energy Detection

Energy sense of adaptive double threshold joint spectrum perception algorithm using multiple cognitive, and after double threshold for comprehensive judgment, and threshold value with the discretion of the signal to noise ratio (SNR) adaptive adjustment, will eventually each SU decision data fusion center for spectrum using the information, make perception performance effectively improve. In this paper, the detection probability of the proposed algorithm, the virtual detection probability and frequency of testing performance expression in this paper, and by using the MATLAB simulation get signal-to-noise ratio and detection probability, the relationship between the frequency of testing. The results show that, with the traditional single threshold energy spectrum method under the perception, compared with less effective section the detection time, improving the detection probability, can significantly improve the cognitive wireless network spectrum perception performance.