Proposed Simulation of Modulation Identification Based On Wavelet Transform

Abstract

The Automatic identification of digitally modulated signal is considered as a rapidly evolving field. It has found applications in many areas, including electronic warfare, surveillance and threat analysis. A variety of techniques have been proposed to identify digitally modulated signals such as; quadrature amplitude modulation(QAM) signal, phase shift keying(PSK) signal and frequency shift keying(FSK) signal. One of the important transformations is the Wavelet Transformation (WT). It is well different digitally modulated signals contain different transients in amplitude, frequency or phase. The performance of the identification scheme is investigated through simulations. When CNR is greater than 5 dB, the percentage of correct identification is about 97% with 50 observation symbols. The proposed method was tested via four different case studies.