Hu, Anqi and Byrne, Declan Gerard and Farrell, Ronan and Dooley, John (2019) A complexity reduced non-uniform generalized memory polynomial model for nonlinear power amplifier behavioural modeling. In: 2019 30th Irish Signals and Systems Conference (ISSC). IEEE. ISBN 9781728128009

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Abstract

Power amplifiers are widely employed electronic devices in various fields such as mobile networks and radio frequency (RF) transceivers. To achieve efficient operations, power amplifiers can often suffer from nonlinearity problems. This problem can be mitigated through the use of linearization techniques, such as digital predistortion, regarded as the most promising solution to power amplifier linearization. Behavioural modeling is a substantial part of the digital predistortion, responsible for acquiring the coefficients that are necessary to linearize the power amplifier. A Complex Reduced Non-Uniform Generalized Memory Polynomial model was proposed to reach comparable performance of accuracy as Memory Polynomial Model with reduced complexities. The proposed model was tested with a 5MHz LTE signal measured at the input and output of a Doherty PA under different conditions of nonlinearities, memory effects and attenuations as well as PA working powers. It can be observed that the proposed model shows superior accuracy at low complexities, when the PA has higher levels of nonlinearity and memory depth while still maintaining low complexities. Over 60% of coefficients reduction could be reached at the same level of accuracy compared to the MP model.

Item Type:	Book Section
Additional Information:	Funding: This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. Cite as: A. Hu, D. G. Byrne, R. Farrell and J. Dooley, "A Complexity Reduced Non-Uniform Generalized Memory Polynomial Model for Nonlinear Power Amplifier Behavioural Modeling," 2019 30th Irish Signals and Systems Conference (ISSC), Maynooth, Ireland, 2019, pp. 1-5, doi: 10.1109/ISSC.2019.8904969.
Keywords:	Accuracy; Complexity; GMP model; MP mode;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14203
Identification Number:	https://doi.org/10.1109/ISSC.2019.8904969
Depositing User:	Ronan Farrell
Date Deposited:	18 Mar 2021 15:39
Publisher:	IEEE
Refereed:	Yes
Funders:	Science Foundation Ireland (SFI), European Regional Development Fund
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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