Automatic Modulation Identification of MPSK Signals Using Differential Signal and Its Higher Order Cumulants

摘要

Automatic modulation classification plays a significant role in intelligent communication. A new method based on feature extraction is proposed for the recognition of M-ary Phase Shift Keying (MPSK) signals. As features, fourth and eighth order cumulants of the input samples and phase differential sequences were applied. It is shown that the cumulant-based features have robust anti-noise ability. Simulation results demonstrate that the correct classification probability (P_(cc)) with the proposed algorithm is higher than the existing approaches at low signal-to-noise ratio (SNR).