@inproceedings{596c05c296de4c388551cbb8291638c3,
title = "Orthogonal neural network based predistortion for OFDM systems",
abstract = "This paper proposes a predistortion scheme based on an orthogonal hidden layer feedforward neural network for reducing nonlinear distortion introduced by a traveling wave tube amplifier (TWTA) over orthogonal frequency division multiplexing (OFDM) signals. In predistorter, the inputs weight are fixed and based on this the output weights are analytically determined. Computer simulation results confirm that once the 16QAM-OFDM signals are predistorted and amplified at an input back-off level of 0 dB there is a bit error rate performance very close to the ideal case of linear amplification.",
author = "Nibaldo Rodriguez and Claudio Cubillos",
year = "2007",
doi = "10.1109/CERMA.2007.4367690",
language = "English",
isbn = "0769529747",
series = "Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings",
pages = "225--228",
booktitle = "Electr., Rob. Autom. Mech. Conf., CERMA - Proc.",
note = "null ; Conference date: 25-09-2007 Through 28-09-2007",
}