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EnglishThe authors present a neural network based data-predistorter with memory, for the compensation of high-power amplifier (HPA) nonlinearities in digital microwave radio systems. The overall system (predistorter, pulse shaping filter and HPA) can be seen as a unique FIR multilayer neural network, for which a specific complex-valued backpropagation algorithm can be developed to realise the data predistorter. The proposed scheme can also control the spectrum of the signal after the HPA
http://hdl.handle.net/11573/48820| Titolo: | Generalized backpropagation algorithm for training a data predistorter with memory in radio systems |
| Autori interni: | UNCINI, Aurelio |
| Data di pubblicazione: | 1996 |
| Rivista: | ELECTRONICS LETTERS |
| Abstract: | The authors present a neural network based data-predistorter with memory, for the compensation of high-power amplifier (HPA) nonlinearities in digital microwave radio systems. The overall system (predistorter, pulse shaping filter and HPA) can be seen as a unique FIR multilayer neural network, for which a specific complex-valued backpropagation algorithm can be developed to realise the data predistorter. The proposed scheme can also control the spectrum of the signal after the HPA |
| Handle: | http://hdl.handle.net/11573/48820 |
| Appare nelle tipologie: | 01.a Pubblicazione su Rivista |
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