Recognition of digital modulated signals based on statistical parameters

Automatic Modulation Recognition is considered significant in Communication Intelligence (COMINT) applications such as signal interception for mobile communication, defence, civil authority, and surveillance. It is also the key for threat analysis. Recently many algorithms have been proposed to distinguish digitally modulated signals. In this paper, we present and evaluate some problems related to automatic recognition of digital modulation. First of all, Azzouz and Nandi´s algorithm has been discussed. Some new statistical parameters have been applied on that algorithm. Then a new method has been proposed and presented to recognize Orthogonal frequency Division Multiplex (OFDM) signal, in presence of some other digital modulated signal and Additive White Gaussian Noise (AWGN). Finally, many simulations have been carried out and presented for these modulation types, by using statistical approaches.