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Volume 13
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10.3390/technologies13080371
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

High-Efficiency Broadband Doherty Power Amplifier Optimization Based on Genetic Algorithms and Neural Networks

by
Jianping Xing
,
Yicheng Cai
,
Yixian Xu
,
Weiqing Dong
and
Jing Xia
*
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China
*
Author to whom correspondence should be addressed.
Technologies 2025, 13(8), 371; https://doi.org/10.3390/technologies13080371
Submission received: 21 June 2025 / Revised: 14 August 2025 / Accepted: 18 August 2025 / Published: 19 August 2025
(This article belongs to the Section Information and Communication Technologies)
Versions Notes

Abstract

This paper proposes a design method for high-efficiency broadband Doherty power amplifiers (DPAs) optimized through a co-simulation approach combining genetic algorithms and neural networks. The method integrates the global search capability of genetic algorithms with the predictive power of neural networks to efficiently optimize the DPA matching network parameters. Key performance metrics such as output power, efficiency, and gain are incorporated into the objective function for comprehensive optimization. A DPA operating from 1.5 GHz to 2.6 GHz was designed and fabricated. Measurement results demonstrate that the optimized amplifier achieves saturated output power between 42.19 dBm and 44.7 dBm, saturated efficiency from 51.4% to 61.8%, and 6 dB back-off efficiency ranging from 44.3% to 56.4% across the bandwidth. These results verify the feasibility and effectiveness of the proposed optimization method.
Keywords: genetic algorithm; neural network; high efficiency; broadband; Doherty power amplifier genetic algorithm; neural network; high efficiency; broadband; Doherty power amplifier

Share and Cite

MDPI and ACS Style

Xing, J.; Cai, Y.; Xu, Y.; Dong, W.; Xia, J. High-Efficiency Broadband Doherty Power Amplifier Optimization Based on Genetic Algorithms and Neural Networks. Technologies 2025, 13, 371. https://doi.org/10.3390/technologies13080371

AMA Style

Xing J, Cai Y, Xu Y, Dong W, Xia J. High-Efficiency Broadband Doherty Power Amplifier Optimization Based on Genetic Algorithms and Neural Networks. Technologies. 2025; 13(8):371. https://doi.org/10.3390/technologies13080371

Chicago/Turabian Style

Xing, Jianping, Yicheng Cai, Yixian Xu, Weiqing Dong, and Jing Xia. 2025. "High-Efficiency Broadband Doherty Power Amplifier Optimization Based on Genetic Algorithms and Neural Networks" Technologies 13, no. 8: 371. https://doi.org/10.3390/technologies13080371

APA Style

Xing, J., Cai, Y., Xu, Y., Dong, W., & Xia, J. (2025). High-Efficiency Broadband Doherty Power Amplifier Optimization Based on Genetic Algorithms and Neural Networks. Technologies, 13(8), 371. https://doi.org/10.3390/technologies13080371

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