scholarly journals Deep Learning in Digital Modulation Recognition Using High Order Cumulants

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 63760-63766 ◽  
Author(s):  
Wenwu Xie ◽  
Sheng Hu ◽  
Chao Yu ◽  
Peng Zhu ◽  
Xin Peng ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Order ◽  
Modulation Recognition ◽  
Digital Modulation ◽  
High Order Cumulants

The Algorithm of Digital Modulation Recognition Based on Stochastic

2013 ◽  
Vol 333-335 ◽  
pp. 531-534
Author(s):  
Mei Ying Xiong ◽  
Shui Ying Xiong
Keyword(s):  
Stochastic Resonance ◽  
Support Vector ◽  
Correct Identification ◽  
Modulation Recognition ◽  
Digital Modulation ◽  
Identification Rate ◽  
Signal Characteristics ◽  
Correct Identification Rate ◽  
Good Identification ◽  
High Order Cumulants

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.

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