Digital Modulation Identification in terms of Software Defined Radio for Traffic Management System

Nowadays, a lot of efforts have been given to reduce hardware and software development cost. Many of today's military and commercial communication systems use Software Defined Radio (SDR) technology to create various different hardware combinations in term of software control. In this paper, we present an approach to design a SDR based traffic management system by tuning between two different digital modulation schemes: ASK and FSK. The wavelet transform technique has been used for modulation identification. The performance of the identification scheme is investigated through simulations, for different signal to noise ratio (SNR). The system identification performance is improved more than 95% when SNR is more than 9dB.

[1]  C.-C. Jay Kuo,et al.  Modulation classification using wavelet transform , 1994, Optics & Photonics.

[2]  K. C. Ho,et al.  Modulation identification by the wavelet transform , 1995, Proceedings of MILCOM '95.

[3]  K. C. Ho,et al.  Identification of digital modulation types using the wavelet transform , 1999, MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341).

[4]  Fenglin Fu,et al.  Digital modulation identification by wavelet analysis , 2005, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05).

[5]  F. F. Liedtke,et al.  Computer simulation of an automatic classification procedure for digitally modulated communication signals with unknown parameters , 1984 .

[6]  K. C. Ho,et al.  Modulation identification of digital signals by the wavelet transform , 2000 .