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Volume 31 Issue 4
Dec.  2010
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Liu Hang, Yu Dan, Kong Xiang-wei. A New Approach to Improve the Spectrum Sensing in Cognitive Radio in Low SNR Environment[J]. Journal of Electronics & Information Technology, 2009, 31(4): 993-996. doi: 10.3724/SP.J.1146.2007.01999
Citation: Liu Hang, Yu Dan, Kong Xiang-wei. A New Approach to Improve the Spectrum Sensing in Cognitive Radio in Low SNR Environment[J]. Journal of Electronics & Information Technology, 2009, 31(4): 993-996. doi: 10.3724/SP.J.1146.2007.01999

A New Approach to Improve the Spectrum Sensing in Cognitive Radio in Low SNR Environment

doi: 10.3724/SP.J.1146.2007.01999
  • Received Date: 2007-12-29
  • Rev Recd Date: 2008-07-14
  • Publish Date: 2009-04-19
  • 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=-10dB and above. The performance can satisfy the requirement of spectrum sensing in Cognitive Radio.
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