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

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2008-05-15

Included Journals: Scopus、CPCI-S、EI

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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