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
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.
Copyright © 2007–2024 IEEE
