Complex-bilinear recurrent neural network for equalization of a digital satellite channel

@article{Park2002ComplexbilinearRN,
  title={Complex-bilinear recurrent neural network for equalization of a digital satellite channel},
  author={Dong-Chul Park and Tae-Kyun Jung Jeong},
  journal={IEEE transactions on neural networks},
  year={2002},
  volume={13 3},
  pages={711-25}
}
Equalization of satellite communication using complex-bilinear recurrent neural network (C-BLRNN) is proposed. Since the BLRNN is based on the bilinear polynomial, it can be used in modeling highly nonlinear systems with time-series characteristics more effectively than multilayer perceptron type neural networks (MLPNN). The BLRNN is first expanded to its complex value version (C-BLRNN) for dealing with the complex input values in the paper. C-BLRNN is then applied to equalization of a digital… CONTINUE READING
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