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.
Non linear satellite radio links equalized using blind neural networks / Benvenuto, N; Marchesi, M; Piazza, F; Uncini, Aurelio. - 3:(1991), pp. 1521-1524. [10.1109/ICASSP.1991.150526]
Non linear satellite radio links equalized using blind neural networks
UNCINI, Aurelio
1991
Abstract
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.File allegati a questo prodotto
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