3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

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
Hang Liu1,*, Dan Yu1,*, Xiangwei Kong1,*
  • 1: Department of Electronic Engineering Dalian University of Technology Dalian, China 116024
*Contact email: liuhangdip@gmail.com, peonyyu@gmail.com, kongxw@dlut.edu.cn

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.