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.

Additional Metadata
Persistent URL dx.doi.org/10.1109/ISSPA.2003.1224633
Conference 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Citation
Ibnkahla, M, & Yuan, J. (Jun). (2003). A neural network MLSE receiver based on natural gradient descent: Application to satellite communications. In Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 (pp. 33–36). doi:10.1109/ISSPA.2003.1224633