A Robust Modulation Classification Method for PSK Signals Using Random Graphs

In this paper, a modulation classification method is proposed for identifying phase shift-keying signals, and experiments are performed to confirm its validity. The method relies on the graph representation of the Fourier transform of the second and fourth powers of these signals. As the graph is fully connected only for certain modulation types, this represents a discriminating feature for classification. Unlike the existing techniques in the literature, the proposed method requires neither channel/ signal-to-noise ratio estimation nor timing/frequency offset correction. Experimental results show the applicability of the method in realistic radio fading channels.