2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

OFDM Signal Sensing Method Based on Cyclostationary Detection

  • @INPROCEEDINGS{10.1109/CROWNCOM.2007.4549773,
        author={Sung Hwan Sohn and Ning Han and Jae Moung Kim and Jae Wan Kim},
        title={OFDM Signal Sensing Method Based on Cyclostationary Detection},
        proceedings={2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={6},
        keywords={Chromium  Cognitive radio  FCC  Information technology  Interference  Matched filters  OFDM  Radio spectrum management  Signal to noise ratio  Wireless sensor networks},
        doi={10.1109/CROWNCOM.2007.4549773}
    }
    
  • Sung Hwan Sohn
    Ning Han
    Jae Moung Kim
    Jae Wan Kim
    Year: 2008
    OFDM Signal Sensing Method Based on Cyclostationary Detection
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2007.4549773
Sung Hwan Sohn1,*, Ning Han1,*, Jae Moung Kim1,*, Jae Wan Kim2,*
  • 1: Graduate School of Information Technology & Telecommunications Inha University, Incheon, Korea
  • 2: LG Mobile Communication Technology Research Lab, An Yang, Korea
*Contact email: sunnyshon@gmail.com, neil_han@ieee.org, jaekim@inha.ac.kr, lgjohnkim@lge.com

Abstract

Cognitive Radio is an advanced enabling technology for efficient utilization of vacant spectrum due to its ability to sense the spectrum environment. Various detection methods have been proposed for spectrum sensing, which is the key function in implementing cognitive radio. Most of the existing methods put their interests in detecting TV signal and wireless microphone signals. In this paper, we explore the cyclostationarity of the equally spaced pilot subcarriers in OFDM signal. By averaging over several symbols, the peak property is able to be captured. Simulations in various fading environments show that the proposed cyclostationary based detection method works well for OFDM signal.