Automatic classification of analogue modulation signals by statistical parameters

Abstract

Automatic classification of modulation signals plays an important role in communication applications such as an intelligent demodulator, interference identification and monitoring, so many investigations have been carried out in the past. A new automatic classification procedure of analogue modulation signals including phase continuous FSK signals is proposed. For the discrimination between frequency modulation signals and amplitude modulation signals and the classification among amplitude modulation signals, the statistical parameters of the signal envelope are used. For the classification among frequency modulation signals, the compactness of the instantaneous frequency distribution is used. Good classification possibility have been ascertained by the computer simulations when the SNR/spl ges/10 dB. The discrimination between analogue modulation signals and digital modulation signals based on the block processing is also discussed.