Distributed feature-based modulation classification using wireless sensor networks

@article{Forero2008DistributedFM,
  title={Distributed feature-based modulation classification using wireless sensor networks},
  author={P. A. Forero and Alfonso Cano and G. B. Giannakis},
  journal={MILCOM 2008 - 2008 IEEE Military Communications Conference},
  year={2008},
  pages={1-7}
}
Automatic modulation classification (AMC) is a critical prerequisite for demodulation of communication signals in tactical scenarios. Depending on the number of unknown parameters involved, the complexity of AMC can be prohibitive. Existing maximum-likelihood and feature-based approaches rely on centralized processing. The present paper develops AMC algorithms using spatially distributed sensors, each acquiring relevant features of the received signal. Individual sensors may be unable to… CONTINUE READING
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Consensus-based k-means algorithm for distributed learning using wireless sensor networks

  • P. A. Forero, A. Cano, G. B. Giannakis
  • Proc. Workshop on Sensors, Signal and Info…
  • 2008
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