@inproceedings{9ced6b6d85914e7f8c235f51394dbe6b,
title = "OFDM modulation classification and parameters extraction",
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.",
author = "Hong Li and Yeheskel Bar-Ness and Ali Abdi and Somekh, {Oren S.} and Wei Su",
year = "2006",
month = jan,
day = "1",
doi = "10.1109/CROWNCOM.2006.363474",
language = "English (US)",
isbn = "1424403812",
series = "1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM",
publisher = "IEEE Computer Society",
booktitle = "1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM",
address = "United States",
note = "1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM ; Conference date: 08-06-2006 Through 10-06-2006",
}