Implementation of digital modulation identification on signal processing platform for software defined radio

Document Type : Original Article

Authors

Department of Communication and Computer system Engineering, Faculty of Engineering, University Putra Malaysia (UPM).

Abstract

Abstract:
Software Defined Radio (SDR) has been used by many military and commercial
communication applications. The need to identify the digital modulation type of an
incoming radio signal is important in order to design an intelligent system that can be
used for different applications. This paper describes an approach to extract the transient
characteristics of the digital modulated signal using the wavelet transform technique,
allowing a simple identification process. A method for identify the modulated signal
scheme from the wavelet transform is described, and the performance of the identifier is
investigated through simulation for different signal to noise ratio (SNR) values, showed
that the system identification performance is improved more than 95% when SNR more
than 9dB for all the proposed modulated signal in the system.

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