一个基于多目标优化的Doherty功率放大器及其匹配的网络优化方法
1Maqu Broadcast Transmitting Station of Gansu Province Radio and Television Bureau, Gansu, China.
PloS one
|December 21, 2023
概括
本研究介绍了一种改进的多目标优化算法,以提高功率放大器设计. 新方法优化了匹配网络,提高了低功耗和和模式的效率.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 电子电路 电子电路
背景情况:
- 传统的功率放大器设计难以同时平衡低功率和和模式.
- 优化匹配网络的现有方法往往是繁和低效的.
研究的目的:
- 为功率放大器匹配网络引入改进的多目标优化算法.
- 为了在功率放大器中实现低功率和和模式的同时优化.
- 通过模拟和实验分析来验证拟议的算法的有效性.
主要方法:
- 开发了一个基于分解的改进的多目标优化算法.
- 该算法用于优化功率放大器匹配网络.
- 为了评估性能,进行了模拟和实验验证.
主要成果:
- 与其他算法相比,拟议的算法证明了较低的平均生成距离 (5.03E-3).
- 优化的功率放大器实现了51.5%~61.9%的和效率和44.4%~56.5%的效率在6dB的功率后退.
- 与基准算法相比,该算法表现出更快的收率和更高的整体性能.
结论:
- 开发的多目标优化算法有效优化功率放大器及其匹配网络.
- 提出的方法成功地解决了传统设计在低功耗模式中的效率限制.
- 该算法提供了一个可行的解决方案,用于在功率放大器设计中实现全面的性能改进.
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