Automatic Modulation Classification Using Moments and Likelihood Maximization

@article{AbuRomoh2018AutomaticMC,
  title={Automatic Modulation Classification Using Moments and Likelihood Maximization},
  author={Mohannad Abu-Romoh and Ahmed Aboutaleb and Zouheir Rezki},
  journal={IEEE Communications Letters},
  year={2018},
  volume={22},
  pages={938-941}
}
Motivated by the fact that moments of the received signal are easy to compute and can provide a simple way to automatically classify the modulation of the transmitted signal, we propose a hybrid method for automatic modulation classification that lies in the intersection between likelihood-based and feature-based classifiers. Specifically, the proposed method relies on statistical moments along with a maximum likelihood engine. We show that the proposed method offers a good trade-off between… CONTINUE READING

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