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The rapid development in the area of cognitive radio technology leads the society to higher standards of spectrum sensing performance, particularly in low signal-to-noise ratio SNR environment. This article proposes an adaptive double-threshold energy sensing method based on Markov model ADEMM. When using the double-threshold energy sensing method, the modified Markov model that accounts for the time varying characteristic of the channel occupancy was presented to resolve the ‘confused’ channel state. Furthermore, in order to overcome the effect of noise uncertainty, the findings of this article introduce an adaptive double-threshold spectrum sensing method that adjusts its thresholds according to the achievable maximal detection probability. Numerical simulations show that the proposed ADEMM achieves better detection performance than the conventional double-threshold energy sensing schemes, especially in very low SNR region.



Author: Yulei Liu , Jun Liang , Nan Xiao , Xiaogang Yuan , Zhenhao Zhang , Meng Hu , Yulong Hu

Source: http://plos.srce.hr/



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