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A New Approach to Improve Signal Classification in Low SNR Environment in Spectrum Sensing

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3 Author(s)
Hang Liu ; Department of Electronic Engineering, Dalian University of Technology, Dalian, China 116024. liuhangdip@gmail.com ; Dan Yu ; Xiangwei Kong

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.

Published in:

2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)

Date of Conference:

15-17 May 2008