Research Article
A New Approach to Improve Signal Classification in Low SNR Environment in Spectrum Sensing
@INPROCEEDINGS{10.1109/CROWNCOM.2008.4562526, author={Hang Liu and Dan Yu and Xiangwei Kong}, title={A New Approach to Improve Signal Classification in Low SNR Environment in Spectrum Sensing}, proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={7}, keywords={signal classification; spectrum sensing; cognitive radio; wireless communications}, doi={10.1109/CROWNCOM.2008.4562526} }- Hang Liu
Dan Yu
Xiangwei Kong
Year: 2008
A New Approach to Improve Signal Classification in Low SNR Environment in Spectrum Sensing
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2008.4562526
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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