A New Method for Identification of MQAM Signals in Rayleigh Fading Channel

This paper presents a method for the automatic classification of MQAM signals in Rayleigh fading channel. The advantage of our method is that, by designing a feature vector which is composed of higher order moments, we do not have to acquire a priori knowledge of signal parameters, what is more, it is a simple, very low complexity, robust method. Computer simulations are made and the results show that our method can reach much better classification accuracy than the existing methods.