Abstract

The paper presents a method for the automatic classification of digital modulations, without any knowledge of the signal parameters. This method can recognize classical single-carrier modulations such as M-PSK (M-ary phase shift keying), M-FSK (M-ary frequency shift keying), M-ASK (M-ary amplitude shift keying) and M-QAM (M-ary quadrature amplitude modulation) and OFDM modulations such as DMT (discrete multitone) used for ADSL (asymmetric digital subscriber line) and VDSL (very high speed DSL) standards and for PLC (powerline carrier) transmissions. After identification of the modulation type the method automatically estimates some parameters characterizing the modulation. In order to evaluate the method performance, several simulations have been carried out with different values of signal to noise ratio (SNR) for each identifiable modulation.

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