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BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures
To address the issue of frequency nonlinearity modeling of RF PAs, which is rarely seen in the literature, a BPNN is applied to model the frequency nonlinearity of RF PAs in this paper. The BPNN is used to model the frequency nonlinearity of the RF PA, based on the actual measured S-parameter data a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693541/ https://www.ncbi.nlm.nih.gov/pubmed/36363852 http://dx.doi.org/10.3390/mi13111831 |
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author | He, Zhao Zhou, Shaohua |
author_facet | He, Zhao Zhou, Shaohua |
author_sort | He, Zhao |
collection | PubMed |
description | To address the issue of frequency nonlinearity modeling of RF PAs, which is rarely seen in the literature, a BPNN is applied to model the frequency nonlinearity of RF PAs in this paper. The BPNN is used to model the frequency nonlinearity of the RF PA, based on the actual measured S-parameter data at different ambient temperatures. The modeling results show that BPNN shows the advantage of a high accuracy in modeling the frequency nonlinearity of RF PAs. It is expected that a BPNN will also show the advantages of a high accuracy in the modeling process of other RF devices or circuits. |
format | Online Article Text |
id | pubmed-9693541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96935412022-11-26 BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures He, Zhao Zhou, Shaohua Micromachines (Basel) Article To address the issue of frequency nonlinearity modeling of RF PAs, which is rarely seen in the literature, a BPNN is applied to model the frequency nonlinearity of RF PAs in this paper. The BPNN is used to model the frequency nonlinearity of the RF PA, based on the actual measured S-parameter data at different ambient temperatures. The modeling results show that BPNN shows the advantage of a high accuracy in modeling the frequency nonlinearity of RF PAs. It is expected that a BPNN will also show the advantages of a high accuracy in the modeling process of other RF devices or circuits. MDPI 2022-10-26 /pmc/articles/PMC9693541/ /pubmed/36363852 http://dx.doi.org/10.3390/mi13111831 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 He, Zhao Zhou, Shaohua BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures |
title | BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures |
title_full | BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures |
title_fullStr | BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures |
title_full_unstemmed | BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures |
title_short | BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures |
title_sort | bpnn-based behavioral modeling of the s-parameter variation characteristics of pas with frequency at different temperatures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693541/ https://www.ncbi.nlm.nih.gov/pubmed/36363852 http://dx.doi.org/10.3390/mi13111831 |
work_keys_str_mv | AT hezhao bpnnbasedbehavioralmodelingofthesparametervariationcharacteristicsofpaswithfrequencyatdifferenttemperatures AT zhoushaohua bpnnbasedbehavioralmodelingofthesparametervariationcharacteristicsofpaswithfrequencyatdifferenttemperatures |