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Using neural network for reduction distrotion introduced by power amplifier in digital communication systems

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1 Author(s)
J. Pochmara ; Poznan Univ. of Technol.

We proposed and improved an adaptive neural predistorter, which can automatically compensate for amplifier nonlinearity and thus makes it possible to transmit OFDM signals without incurring intolerable distortions. The neural predistorter utilizes gradient algorithms for its adaptation. Our results indicate clear improvements in performance for neural networks networks incorporating memory into their structure

Published in:

Proceedings of the International Conference Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006.

Date of Conference:

22-24 June 2006