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A new approach to improve signal classification in low SNR environment in spectrum sensing

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Indexed by:会议论文

Date of Publication:2008-05-15

Included Journals:EI、CPCI-S、Scopus

Page Number:396-400

Key Words:signal classification; spectrum sensing; cognitive radio; wireless communications

Abstract:The performance of Cognitive radio is sensitive to the accuracy of signal classification. The proposed method can increase the accuracy of existing methods on the certain degree at SNR=0 dB and below. In simulation, we classify five types of signals which are AM, BPSK, FSK, MSK and QPSK. The experiments show that above 99.9% received signals are correctly classified at SNR=-12 dB and above.

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