Generalised backpropagation algorithm for traininga data predistorter with memory in radio systems

26 September 1996

journal article
Published by Institution of Engineering and Technology (IET) in Electronics Letters

Vol. 32 (20) , 1925-1926
https://doi.org/10.1049/el:19961279

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 back-propagation algorithm can be developed to realise the data predistorter. The proposed scheme can also control the spectrum of the signal after the HPA.

Keywords

This publication has 3 references indexed in Scilit:

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