Corpus ID: 7756687

Pre-Distortion for the compensation of HPA nonlinearity with neural networks: Application to satellite communications

@inproceedings{Zayani2007PreDistortionFT,
  title={Pre-Distortion for the compensation of HPA nonlinearity with neural networks: Application to satellite communications},
  author={Rafik Zayani and Ridha Bouall{\`e}gue},
  year={2007}
}
  • Rafik Zayani, Ridha Bouallègue
  • Published 2007
  • Computer Science
  • Summary Neural networks (NNs) are able to give solutions to complex problems in digital communications due to their nonlinear processing, parallel distributed architecture, self-organization, capacity of learning and generalization, and efficient hardware implementation. The pre-distortion being at the center of interest of this paper is one of the possible methods to compensate for HPA nonlinearities. The principle of pre-distortion is to distort the HPA input signal by an additional device… CONTINUE READING

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