A kind of wireless modulation recognition method based on densenet and blstm

HIGHLIGHTS

• who: . et al. from the School of Information Engineering, Jimei University Department of Aeronautical Engineering, Chaoyang University of Technology, Taichung, Taiwan have published the research work: A kind of wireless modulation recognition method based on DenseNet and BLSTM, in the Journal: (JOURNAL)
• what: The authors propose to use densely connected convolutional networks combined with bidirectional recurrent neural networks to identify the radios of 11 different modulation methods. To extract the deeper features of radio signal after modulation without over fitting, the authors propose a new network structure for wireless signal recognition, combined with DenseNet (Densely . . .
  

   

  

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