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

Volume

2

fYear

2009

fDate

10-11 July 2009

Firstpage

74

Lastpage

77

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering, 2009. ICIE '09. WASE International Conference on

Conference_Location

Taiyuan, Chanxi

Print_ISBN

978-0-7695-3679-8

Type

conf

DOI

10.1109/ICIE.2009.198

Filename

5211479