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Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals

This paper presents an envelope linearization technique to compensate for the nonlinear distortion of envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed envelope optimization (EOPT) method is agnostic of the nonlinear distortion generated in the envelo...

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Detalles Bibliográficos
Autores principales: Li, Wantao, Montoro, Gabriel, Gilabert, Pere L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145709/
https://www.ncbi.nlm.nih.gov/pubmed/35632181
http://dx.doi.org/10.3390/s22103773
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author Li, Wantao
Montoro, Gabriel
Gilabert, Pere L.
author_facet Li, Wantao
Montoro, Gabriel
Gilabert, Pere L.
author_sort Li, Wantao
collection PubMed
description This paper presents an envelope linearization technique to compensate for the nonlinear distortion of envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed envelope optimization (EOPT) method is agnostic of the nonlinear distortion generated in the envelope supply path and can compensate for the nonlinear distortion at the ET PA output without the need to monitor the output at the envelope tracking modulator (ETM). The linearization system in the envelope path is based on the envelope generalized memory polynomial (EGMP) behavioral model. Since the ETM output is not available, an iterative nonlinear least squares solution inspired in the deep deterministic policy gradient (DDPG) algorithm is proposed to extract the coefficients of the EGMP model. The EOPT method is validated on a system-on-chip (SoC) ET PA board designed for mobile terminal applications. Experimental results show the suitability of the proposed method to guarantee the linearity requirements (i.e., adjacent channel power ratio below −36 dBc) with 16.8% of power efficiency when operating the ET PA with 5G new radio test signals of 60 MHz bandwidth operating at 2.55 GHz (band 7). The linearization performance of the proposed EOPT method is comparable to the envelope leakage cancellation (ELC) approach (but saving the need for an analog to digital converter to monitor the ETM output), and can outperform a conventional I-Q digital predistorter based on the generalized memory polynomial (GMP) behavioral model.
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spelling pubmed-91457092022-05-29 Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals Li, Wantao Montoro, Gabriel Gilabert, Pere L. Sensors (Basel) Article This paper presents an envelope linearization technique to compensate for the nonlinear distortion of envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed envelope optimization (EOPT) method is agnostic of the nonlinear distortion generated in the envelope supply path and can compensate for the nonlinear distortion at the ET PA output without the need to monitor the output at the envelope tracking modulator (ETM). The linearization system in the envelope path is based on the envelope generalized memory polynomial (EGMP) behavioral model. Since the ETM output is not available, an iterative nonlinear least squares solution inspired in the deep deterministic policy gradient (DDPG) algorithm is proposed to extract the coefficients of the EGMP model. The EOPT method is validated on a system-on-chip (SoC) ET PA board designed for mobile terminal applications. Experimental results show the suitability of the proposed method to guarantee the linearity requirements (i.e., adjacent channel power ratio below −36 dBc) with 16.8% of power efficiency when operating the ET PA with 5G new radio test signals of 60 MHz bandwidth operating at 2.55 GHz (band 7). The linearization performance of the proposed EOPT method is comparable to the envelope leakage cancellation (ELC) approach (but saving the need for an analog to digital converter to monitor the ETM output), and can outperform a conventional I-Q digital predistorter based on the generalized memory polynomial (GMP) behavioral model. MDPI 2022-05-16 /pmc/articles/PMC9145709/ /pubmed/35632181 http://dx.doi.org/10.3390/s22103773 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Wantao
Montoro, Gabriel
Gilabert, Pere L.
Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals
title Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals
title_full Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals
title_fullStr Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals
title_full_unstemmed Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals
title_short Agnostic Envelope Linearization of Dynamically Supplied Power Amplifiers for Mobile Terminals
title_sort agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145709/
https://www.ncbi.nlm.nih.gov/pubmed/35632181
http://dx.doi.org/10.3390/s22103773
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