Using an ANN approach to estimate output power and PAE of a modified class-F power amplifier
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F20%3A43959460" target="_blank" >RIV/49777513:23220/20:43959460 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9232787" target="_blank" >https://ieeexplore.ieee.org/document/9232787</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/AE49394.2020.9232787" target="_blank" >10.23919/AE49394.2020.9232787</a>
Alternative languages
Result language
angličtina
Original language name
Using an ANN approach to estimate output power and PAE of a modified class-F power amplifier
Original language description
In this paper, an efficient Class-F power amplifier (PA) is designed, simulated and modeled. This type of amplifier has nonlinear behaviors and uses tuning and controlling harmonics as the most important mechanism to increase efficiency. Feedforward artificial neural network (ANN) model is proposed to predict and estimate the nonlinear output of the power amplifier. The designed amplifier operates at 900 MHz, with 18 dB gain and 70 %Power-Added Efficiency (PAE). In the design process, the artificial neural network model is used to predict PAE and output power parameters as a function of input power, drain voltage and gate voltage of the applied transistor (DC Biasing voltages). The obtained mean relative errors (MREs) are less than 0.03% and 0.09% for the predicted output power and PAE parameters.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Applied Electronics (AE 2020) : /proceedings/
ISBN
978-80-261-0891-7
ISSN
1803-7232
e-ISSN
1805-9597
Number of pages
6
Pages from-to
63-68
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
virtual, Pilsen, Czech Republic
Event date
Sep 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—