Title: Using an ANN approach to estimate output power and PAE of a modified class-F power amplifier
Authors: Jamshidi, Mohammad
Roshani, Saeed
Talla, Jakub
Roshani, Sobhan
Citation: JAMSHIDI, M., ROSHANI, S., TALLA, J., ROSHANI, S. Using an ANN approach to estimate output power and PAE of a modified class-F power amplifier. In: International Conference on Applied Electronics (AE 2020) : /proceedings/. Pilsen: University of West Bohemia, 2020. s. 63-68. ISBN 978-80-261-0891-7, ISSN 1803-7232.
Issue Date: 2020
Publisher: University of West Bohemia
Document type: konferenční příspěvek
URI: 2-s2.0-85096364734
ISBN: 978-80-261-0891-7
ISSN: 1803-7232
Keywords in different language: component;artificial neural network;class-F power amplifier;power added efficiency (PAE)
Abstract in different language: 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.
Rights: © University of West Bohemia in Pilsen
Appears in Collections:Konferenční příspěvky / Conference papers (RICE)
Konferenční příspěvky / Conference Papers (KEV)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/42405

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