Digital modulation identification in terms of software defined radio for traffic management system

• Main Authors: Bakhraiba, Ahmed Mohamed Salih, Khatun, Sabira, Noordin, Nor Kamariah, Ismail, Alyani, Mohd Ali, Borhanuddin
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2008
• Online Access: http://psasir.upm.edu.my/id/eprint/68897/1/Digital%20modulation%20identification%20in%20terms%20of%20software%20defined%20radio%20for%20traffic%20management%20system.pdf; http://psasir.upm.edu.my/id/eprint/68897/
• Institution: Universiti Putra Malaysia

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.