Abstract
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.
| Original language | English (US) |
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| Pages | 1167-1172 |
| Number of pages | 6 |
| State | Published - 2003 |
| Event | MILCOM 2003 - 2003 IEEE Military Communications Conference - Monterey, CA, United States Duration: Oct 13 2003 → Oct 16 2003 |
Other
| Other | MILCOM 2003 - 2003 IEEE Military Communications Conference |
|---|---|
| Country/Territory | United States |
| City | Monterey, CA |
| Period | 10/13/03 → 10/16/03 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering