Implementation of digital modulation identification on signal processing platform for software defined radio | ||||
| The International Conference on Electrical Engineering | ||||
| Article 180, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-12 PDF (246.68 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2008.34633 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ahmed M. Bakhraiba; Sabira Khatun; Nor Kamaria Noordin; Alyani Ismail; Borhanuddin Mohd Ali | ||||
| 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. | ||||
| Keywords | ||||
| Adaptive detection; SDR and wavelet transform | ||||
|
Statistics Article View: 126 PDF Download: 143 |
||||
