Title :
A Cyclostationary-Based Spectrum Sensing Method Using Stochastic Resonance in Cognitive Radio
Author :
Lin, Yingpei ; He, Chen ; Jiang, Lingge ; He, Di
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
A spectrum sensing approach based on the combination of cyclostationary feature detection (CFD) and stochastic resonance (SR) in cognitive radio (CR) is proposed in this paper. The SR technique can be used in the spectrum sensing based on CFD because the CFD method does not need to consider the distribution of the signals received by the secondary users. An improvement of the spectrum sensing performances can be conducted by the proposed method for its satisfaction of the Improvability of Detection via SR Theorem. Numerical results show that the proposed spectrum sensing scheme has better sensing performances than the conventional CFD method.
Keywords :
Cognitive radio; Computational fluid dynamics; Computer vision; Detectors; Helium; Matched filters; Signal to noise ratio; Stochastic resonance; Strontium; Wireless sensor networks;
Conference_Titel :
Communications Workshops (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town, South Africa
Print_ISBN :
978-1-4244-6824-9
DOI :
10.1109/ICCW.2010.5503965
