Open Access

A Neural Network MLSE Receiver Based on Natural Gradient Descent: Application to Satellite Communications

EURASIP Journal on Advances in Signal Processing20042004:394715

DOI: 10.1155/S1110865704405010

Received: 30 August 2003

Published: 2 December 2004

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.

Keywords and phrases

neural networks satellite communications high-power amplifiers

Authors’ Affiliations

(1)
Electrical and Computer Engineering Department, Queen's University

Copyright

© Ibnkahla and Yuan 2004