@inproceedings{df7859304ba24477a4d5a2f833996b55,
title = "Decorrelation-based Piecewise Digital Predistortion: Operating Principle and RF Measurements",
abstract = "In this paper, we propose a new closed-loop learning architecture for digital predistortion (DPD) with piecewise (PW) memory polynomial models. The technique is targeted specifically for power amplifiers (PAs) that exhibit strong nonlinear behavior and nonlinear memory effects, such as those implemented with gallium nitride (GaN) technology. The learning algorithm is based on a computationally simple decorrelating learning rule, which is applied on each PW polynomial model separately. Measurements with LTE-A signals on a basestation GaN PA show that the proposed technique clearly outperforms the reference closedloop memory polynomial DPD, in terms of reducing the adjacent channel emissions.",
keywords = "Radio frequency, Gallium nitride, Decorrelation, Silicon, Nonlinear distortion, Distortion measurement, Predistortion, 5G, digital predistortion, GaN power amplifiers, linearization, adaptive filters, nonlinear signal processing",
author = "Mahmoud Abdelaziz and Lauri Anttila and Alberto Brihuega and Markus Allen and Mikko Valkama",
year = "2019",
month = oct,
day = "21",
doi = "10.1109/ISWCS.2019.8877236",
language = "English",
isbn = "978-1-7281-2528-2",
series = "International Symposium on Wireless Communication Systems (ISWCS)",
publisher = "IEEE",
pages = "340--344",
booktitle = "2019 16th International Symposium on Wireless Communication Systems (ISWCS)",
note = "International Symposium on Wireless Communication Systems ; Conference date: 01-01-1900",
}