Title :
Study of Coal Mine Cognitive Radio Sensing Algorithm
Author :
Chen, Gui-Zhen ; Zhang, Xiao-Chun ; Ding, En-jie
Author_Institution :
Coll. of Inf. & Electr. Eng., China Univ. of Min. & Technol. (CUMT), Xuzhou, China
Abstract :
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.
Keywords :
Rayleigh channels; Rician channels; algorithm theory; coal; cognitive radio; mining industry; mobile radio; Rayleigh channel detection; Rician channel detection; coal mine; cognitive radio sensing algorithm; cooperative sensing system; feedback joint detection algorithm; wireless communication system; Chromium; Cognitive radio; Detection algorithms; Fading; Feedback; Frequency; Rayleigh channels; Rician channels; Wireless communication; Wireless sensor networks; Spectrum Sensing; cognitive radio; energy detection; mine Communication;
Conference_Titel :
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location :
Taiyuan, Chanxi
Print_ISBN :
978-0-7695-3679-8
DOI :
10.1109/ICIE.2009.198
