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文章基本信息

  • 标题:A Neural Network MLSE Receiver Based on Natural Gradient Descent: Application to Satellite Communications
  • 本地全文:下载
  • 作者:Mohamed Ibnkahla ; Jun Yuan
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2004
  • 卷号:2004
  • 期号:16
  • 页码:2580-2591
  • DOI:10.1155/S1110865704405010
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    The paper proposes a maximum likelihood sequence estimator (MLSE) receiver for satellite communications. The satellite channel model is composed of a nonlinear traveling wave tube (TWT) amplifier followed by a multipath propagation channel. The receiver is composed of a neural network channel estimator (NNCE) and a Viterbi detector. The natural gradient (NG) descent is used for training. Computer simulations show that the performance of our receiver is close to the ideal MLSE receiver in which the channel is perfectly known.

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