A new spectrum sensing method for cognitive radio

Authors:
Yang Ou;Yi-Ming Wang;Dan Ye
Affiliations:
Department of Electronics and Information Engineering, Soochow University, Suzhou City, Jiangsu, China and Department of Electronic Engineering, University of Science and Technology of Suzhou, Suz ...;Department of Electronics and Information Engineering, Soochow University, Suzhou City, Jiangsu, China;Department of Electronics and Information Engineering, Soochow University, Suzhou City, Jiangsu, China
Venue:
MUSP'10 Proceedings of the 10th WSEAS international conference on Multimedia systems & signal processing
Year:
2010

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Abstract

Cognitive radio has been proposed as a possible solution to improve spectrum utilization via opportunistic spectrum sharing that will be done by autonomous detection of vacant bands in the radio spectrum. Spectrum sensing is the very task upon which the entire operation of cognitive radio rests. In this paper a new spectrum sensing method for cognitive radio systems based on cyclic autocorrelation has been proposed. This method takes advantage of the amplitude of the cyclic autocorrelation and can differentiate the noise from the primary users and detect the presence of the primary users. Theoretical analysis for the algorithms is discussed. Simulations based on BPSK and QPSK signals are presented to verify the method.