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...

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Main Authors: Zhao He, Shaohua Zhou
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/13/11/1831
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author Zhao He
Shaohua Zhou
author_facet Zhao He
Shaohua Zhou
author_sort Zhao He
collection DOAJ
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.
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spelling doaj.art-5a3ad5a49b724844878fe31a56fed8132023-11-24T05:53:52ZengMDPI AGMicromachines2072-666X2022-10-011311183110.3390/mi13111831BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different TemperaturesZhao He0Shaohua Zhou1National Institute of Metrology, Beijing 100029, ChinaSchool of Microelectronics, Tianjin University, Tianjin 300072, ChinaTo 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.https://www.mdpi.com/2072-666X/13/11/1831power amplifiertemperatureBPNNS-parametermodel
spellingShingle Zhao He
Shaohua Zhou
BPNN-Based Behavioral Modeling of the S-Parameter Variation Characteristics of PAs with Frequency at Different Temperatures
Micromachines
power amplifier
temperature
BPNN
S-parameter
model
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 power amplifier
temperature
BPNN
S-parameter
model
url https://www.mdpi.com/2072-666X/13/11/1831
work_keys_str_mv AT zhaohe bpnnbasedbehavioralmodelingofthesparametervariationcharacteristicsofpaswithfrequencyatdifferenttemperatures
AT shaohuazhou bpnnbasedbehavioralmodelingofthesparametervariationcharacteristicsofpaswithfrequencyatdifferenttemperatures