RF Power Amplifier Behavioral Modeling using a Globally Recurrent Neural Network

@article{OBrien2006RFPA,
  title={RF Power Amplifier Behavioral Modeling using a Globally Recurrent Neural Network},
  author={Bill O'Brien and Jessica A Dooley and T. J. Brazil},
  journal={2006 IEEE MTT-S International Microwave Symposium Digest},
  year={2006},
  pages={1089-1092}
}
In this paper it is shown that a globally recurrent time delay neural network can accurately model a nonlinear RF power amplifier having significant memory. The recognized difficulty of training a recurrent neural network is overcome by reducing it initially to a feed forward network, training that network, and then using the weights established by this training sequence in a restructured recurrent network. The training of the recurrent network thus reduces to the training of a feed forward… CONTINUE READING
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