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
Generalized backpropagation algorithm for training a data predistorter with memory in radio systems / Benvenuto, N.; Piazza, F.; Uncini, Aurelio; Visintin, M.. - In: ELECTRONICS LETTERS. - ISSN 0013-5194. - STAMPA. - 32 Nr. 20(1996), pp. 1925-1926. [10.1049/el:19961279]
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Titolo: | Generalized backpropagation algorithm for training a data predistorter with memory in radio systems | |
Autori: | ||
Data di pubblicazione: | 1996 | |
Rivista: | ||
Citazione: | Generalized backpropagation algorithm for training a data predistorter with memory in radio systems / Benvenuto, N.; Piazza, F.; Uncini, Aurelio; Visintin, M.. - In: ELECTRONICS LETTERS. - ISSN 0013-5194. - STAMPA. - 32 Nr. 20(1996), pp. 1925-1926. [10.1049/el:19961279] | |
Handle: | http://hdl.handle.net/11573/48820 | |
Appartiene alla tipologia: | 01a Articolo in rivista |