Non linear satellite radio links equalized using blind neural networks
Nevio Benvenuto, Michele Marchesi, Francesco Piazza, Aurelio Uncini · 1991
After an ad hoc extension of the multilayer perceptron model to complex signals, a blind neural network equalizer is proposed. Several experimental results are also reported which prove the effectiveness of this approach for equalizing a digital satellite radio channel in the presence of mild nonlinearities and intersymbol interference. Moreover, the proposed method works without any knowledge about the nonlinear nature of the channel.>