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1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

OFDM Modulation Classification and Parameters Extraction

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CROWNCOM.2006.363474,
        author={Hong  Li and Yeheskel  Bar-Ness and Ali  Abdi and Oren S.  Somekh and Wei  Su},
        title={OFDM Modulation Classification and Parameters Extraction},
        proceedings={1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2007},
        month={5},
        keywords={AWGN Additive white noise Digital modulation Distribution functions Gaussian distribution OFDM modulation Parameter extraction Satellite broadcasting Signal processing Testing},
        doi={10.1109/CROWNCOM.2006.363474}
    }
    
  • Hong Li
    Yeheskel Bar-Ness
    Ali Abdi
    Oren S. Somekh
    Wei Su
    Year: 2007
    OFDM Modulation Classification and Parameters Extraction
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2006.363474
Hong Li1,*, Yeheskel Bar-Ness1,*, Ali Abdi1,*, Oren S. Somekh1,*, Wei Su2
  • 1: Center for Wireless Communication and Signal Processing Research, ECE Department, New Jersey Institute of Technology, Newark, NJ 07102 USA
  • 2: U.S. Army RDECOM CERDEC, Fort Monmouth, NJ 07703 USA
*Contact email: h18@njit.edu, yeheskel@njit.edu, ali.abdi@njit.edu, oren.s.somekh@njit.edu

Abstract

A novel comprehensive classification system is proposed for recognizing the orthogonal frequency division multiplexing (OFDM) signal and extracting its parameters. An empirical distribution function-based Gaussianity test technique is first applied to distinguish OFDM from single carrier modulations. Cyclostationarity and correlation tests are then applied to estimate OFDM symbol duration and cyclic prefix duration. A bank of fast Fourier transform (FFT) bank filter is devised to detect the number of subcarriers. Numerical results are presented to verify the efficiency of the proposed scheme

Keywords
AWGN Additive white noise Digital modulation Distribution functions Gaussian distribution OFDM modulation Parameter extraction Satellite broadcasting Signal processing Testing
Published
2007-05-21
Publisher
IEEE
http://dx.doi.org/10.1109/CROWNCOM.2006.363474
Copyright © 2006–2025 IEEE
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