Recognition of Digital Modulated Signals based
on Statistical Parameters

Khandker Nadya Haq 1, Ali Mansour 2, Sven Nordholm 3

Electrical and Computer Engineering Department, Curtin University of Technology
Kent Street, Bentley, WA 6102, Australia

k.haq@postgrad.curtin.edu.au
mansour@ieee.org
S.Nordholm@curtin.edu.au

Abstract— 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