M-ary frequency shift keying signal classification based-on discrete Fourier transform

Authors:
Zaihe Yu;Yun Q. Shi;Wei Su
Affiliations:
Department of E.C.E., New Jersey Institute of Technology, Newark, NJ;Department of E.C.E., New Jersey Institute of Technology, Newark, NJ;U.S. Army CECOM, Fort Monmouth, NJ
Venue:
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Year:
2003

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Abstract

The existing decision-theory based classifiers for Mary frequency shift keying (MFSK) signals have assumed that there is some prior knowledge of the transmitted MFSK signal parameters; while the feature-based classifiers have some limitations such as that their thresholds are signal-to-noise-ratio-dependent (SNR-dependent). In this paper, we investigate some useful properties of the amplitude spectrum of MFSK signals. Using these properties as classification criteria, a fast Fourier transform based classifier (FFTC) of MFSK signals has been developed. The FFTC algorithm is practical since it only requires some reasonable knowledge of a received signal. It is found that the FFTC algorithm works well in classifying 2- FSK, 4-FSK, 8-FSK, 16-FSK, and 32-FSK signals when SNR0dB. The FFTC algorithm also gives good estimation of the frequency deviation of the received MFSK signal.