DocumentCode :
2661478
Title :
Step combination cooperative spectrum sensing algorithm based on autocorrelation matrix
Author :
Cai, Xiaoxia ; Chen, Xiaobo ; Chen, Hong ; Liu, Ji
Author_Institution :
Electron. Eng. Inst. of Hefei, Hefei, China
fYear :
2011
fDate :
17-18 Oct. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Based on autocorrelation matrix theory of spectrum sensing for cognitive radio (CR). To solve the high cost of cooperative spectrum sensing, this paper proposed a spectrum sensing algorithm by step combination cooperative strategy, with the purpose of keeping balance between accuracy and velocity, the method chooses CR numbers and its users from all CR users randomly. Simulation results show that the method can not only ensure the correctness, but also reduce the extra data overhead result from the cooperative spectrum sensing and shorten the spectrum sensing search time, meanwhile, it is able to ease the burden of central controller and improve the performance of CR system as a whole.
Keywords :
cognitive radio; cooperative communication; correlation methods; CR numbers; autocorrelation matrix; cognitive radio; spectrum sensing algorithm; step combination cooperative strategy; Cognitive radio; Complexity theory; Correlation; Covariance matrix; Sensors; Signal to noise ratio; autocorrelation matrix; cognitive radio (CR); spectrum sensing; step combination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Congress (GMC), 2011 Global
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0346-0
Type :
conf
DOI :
10.1109/GMC.2011.6103924
Filename :
6103924
Link To Document :
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