Natural gradient works efficiently in learning
Neural Computation
Applications of neural networks to digital communications: a survey
Signal Processing - Special issue on emerging techniques for communication terminals
Multicarrier modulation with low PAR: applications to DSL and wireless
Multicarrier modulation with low PAR: applications to DSL and wireless
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
CNSR '06 Proceedings of the 4th Annual Communication Networks and Services Research Conference
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
The Journal of Machine Learning Research
Equalization of satellite UMTS channels using neural network devices
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Neural network predistortion technique for digital satellite communications
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Applied Signal Processing
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission
IEEE Wireless Communications
Computers and Electronics in Agriculture
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This paper presents adaptive predistortion techniques based on a feed-forward neural network (NN) to linearize power amplifiers such as those used in satellite communications. Indeed, it presents the suitable NN structures which give the best performances for three satellite down links. The first link is a stationary memoryless travelling wave tube amplifier (TWTA), the second one is a nonstationary memoryless TWT amplifier while the third is an amplifier with memory modeled by a memoryless amplifier followed by a linear filter. Equally important, it puts forward the studies concerning the application of different NN training algorithms in order to determine the most prefermant for adaptive predistortions. This comparison examined through computer simulation for 64 carriers and 16-QAM OFDM system, with a Saleh's TWT amplifier, is based on some quality measure (mean square error), the required training time to reach a particular quality level, and computation complexity. The chosen adaptive predistortions (NN structures associated with an adaptive algorithm) have a low complexity, fast convergence, and best performance.