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

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3 Author(s)
Yu, Zaihe ; Dept. of ECE, New Jersey Inst. of Technol., Newark, NJ, USA ; Shi, Y.Q. ; Su, W.

The existing decision-theory based classifiers for M-ary 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 SNR>0dB. The FFTC algorithm also gives good estimation of the frequency deviation of the received MFSK signal.

Published in:

Military Communications Conference, 2003. MILCOM '03. 2003 IEEE  (Volume:2 )

Date of Conference:

13-16 Oct. 2003

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