OFDM Modulation Classification and Parameters Extraction

Hong  Li; Yeheskel  Bar-Ness; Ali  Abdi; Oren S.  Somekh; Wei  Su

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

Research Article

OFDM Modulation Classification and Parameters Extraction

Cite: 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

OFDM Modulation Classification and Parameters Extraction

Abstract

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