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

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Abstract:

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 (Pcc) with the proposed algorithm is higher than the existing approaches at low signal-to-noise ratio (SNR).

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Periodical:

Advanced Materials Research (Volumes 403-408)

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2547-2551

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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