Semi-supervised-based automatic modulation classi cation with domain adaptation for wireless iot spectrum monitoring

HIGHLIGHTS

  • who: March and collaborators from the u00c9cole de technologie supu00e9rieure (u00c9TS), Canada Chandigarh University, India have published the Article: Semi-supervised-based automatic modulation classi cation with domain adaptation for wireless IoT spectrum monitoring, in the Journal: (JOURNAL)
  • what: A novel network is proposed to implement semi-supervised learning for AMR, which consists of two CNN-based encoders, a classifier, and a domain discriminator. In this paper, inspired by adversarial learning, the authors design a semisupervised automatic modulation recognition network (SemiAMR) to implement cross-domain recognition, which can adapt to another signal-to-noise domain . . .

     

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