Modulation Classification By Hilbert-Huang Transform


Tanc Y. H. , Akan A.

21st Signal Processing and Communications Applications Conference (SIU), CYPRUS, 24 - 26 Nisan 2013 identifier identifier

Özet

The problem of identifying the modulation type of the signals at the receiver, is very helpful intermediate step for spectrum sensing which the cognitive radio systems are commonly used today. In this study, Hilbert-Huang Transform is proposed for identifying the modulation type of digitally modulated signals in the noisy environments. Hilbert-Huang Transform obtains the instantaneous features of the signals, like most important feature of the proposed method is there is no need for any a priori knowledge about the signal. Computer simulations demonstrate the accuracy and the superiority of the method in a comparative manner.