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EURASIP Journal on Advances in Signal Processing
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A Neural Network MLSE Receiver Based on Natural Gradient Descent: Application to Satellite Communications

EURASIP Journal on Advances in Signal Processing volume 2004, Article number: 394715 (2004) Cite this article

Abstract

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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Authors and Affiliations

  1. Electrical and Computer Engineering Department, Queen's University, Kingston, Ontario, K7L 3N6, Canada

    Mohamed Ibnkahla & Jun Yuan

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  1. Mohamed Ibnkahla
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  2. Jun Yuan
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Correspondence to Mohamed Ibnkahla.

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Ibnkahla, M., Yuan, J. A Neural Network MLSE Receiver Based on Natural Gradient Descent: Application to Satellite Communications. EURASIP J. Adv. Signal Process. 2004, 394715 (2004). https://doi.org/10.1155/S1110865704405010

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  • DOI: https://doi.org/10.1155/S1110865704405010

Keywords and phrases

  • neural networks
  • satellite communications
  • high-power amplifiers