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Date of Publication:2009-01-01

Journal:电子与信息学报

Affiliation of Author(s):电子信息与电气工程学部

Issue:4

Page Number:993-996

ISSN No.:1009-5896

Abstract:A spectrum sensing approach is proposed to improve the spectrum sensing of Cognitive Radio (CR) in the strong noise environment. The proposed method can increase the accuracy of signals classification in the low SNR environment using spectral correlation function and two-stage classification. The results show that above 99.9% received signals that are composed of five kinds of modulation signals are correctly classified in AWGN channel at SNR = -10 dB and above. The performance can satisfy the requirement of spectrum sensing in Cognitive Radio.

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