Study of Coal Mine Cognitive Radio Sensing Algorithm

The present wireless communication system under coal mines is characterized by single pattern, fixed communication frequency, incapability of adaptive to various tunnel environments. To solve the above problems, cognitive radio (CR) is applied to the system. This paper focuses on the application of energy detection algorithms used in the spectrum sensing of various tunnels under mines. The detection probability of Rayleigh Channel and Rician Channel is analyzed, and the feedback joint detection algorithm based on the tunnel environment is put forward. The simulation shows that the probability of cooperative sensing system obviously rises with the method of self-adaptive through feedback information to adjust the node weight.