An Automatic Modulation Classifier for signals based on Fuzzy System
Keywords:
Modulation Classifier, AMC, Fuzzy system, Analog Modulation, Digital Modulation, AWGN ChannelAbstract
Automatic modulation classification has attracted a lot of interests in the research community in recent
years. Automatic modulation classification is a procedure performed at the receiver based on the received signal before
demodulation when the modulation format is not known to the receiver. This paper presents a method for the
automatic classification of digital modulations without a priori knowledge of the signal parameters. This method can
recognize classical single carrier modulations such as phase-shift keying, frequency-shift keying, amplitude-shift
keying, as well as analog modulations such as amplitude modulation, phase modulation and frequency modulation
from the classifier based on Fuzzy System. After identification of the modulation type, the method automatically
estimates some parameters characterizing the modulation. To evaluate the method performance, several simulations
have been carried out in different operating conditions that should be particularly critical by varying the values of
signal to-noise ratio[17]. To validate the assumption that is made, experimental tests have been performed.
