The Algorithm of Digital Modulation Recognition Based on Stochastic

Abstract:

The traditional digital modulation recognition methods have high requirements for the SNR. This paper presented a good identification method. The quadratic stochastic resonance for signal processing cascade was proposed, then the signal characteristics of high order cumulants were extracted and the support vector machine was used for classifier, simulation results showed that the correct identification rate was up to 88% or more when the SNR was low as-8dB. The bistable stochastic resonance treatment can effectively improve the SNR.

• Periodical: Applied Mechanics and Materials (Volumes 333-335)
• Pages: 531-534
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.333-335.531
• Online since: July 2013
• Authors: Mei Ying Xiong, Shui Ying Xiong
• Keywords: High-Order Cumulants, Modulation Recognition, Stochastic Resonance

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