基于单回路负载调制网络的宽带 Doherty 功率放大器设计

IF 3.7 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Ge Bai;Zhijiang Dai;Jingsong Wang;Cheng Bi;Weimin Shi;Jingzhou Pang;Mingyu Li
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引用次数: 0

摘要

本文提出了一种具有宽带和高效潜力的 Doherty 功率放大器(DPA)结构,称为单回路负载匹配网络 DPA(SL-LMN)。SL-LMN 增加了一个新的电流组合节点,取代了传统的单组合节点网络。这种结构带来了新的电路设计自由度,从而扩大了负载调制网络的工作带宽。使用相同的原型拓扑结构,基于三组对比设计进一步说明了 SL-LMN DPA 的工作机制。为了证明这一理论,我们使用两个非对称氮化镓晶体管开发并制造了一种工作频率为 1.9-2.9 GHz 的宽带非对称 DPA(ADPA)。在连续波激励下,观测数据表明,该 ADPA 的漏极效率在饱和时分别为 42.1%-68.9%,在 8 dB 关断时分别为 45.5%-58.5%。ADPA 的最大输出功率和饱和增益分别为 44-46 dBm 和 6.8-10.9 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Broadband Doherty Power Amplifier Based on Single Loop Load Modulation Network
This paper proposes a Doherty power amplifier (DPA) architecture with potential for wideband and high efficiency, denoted as single-loop load matching network DPA (SL-LMN). The conventional single combination node network is replaced by an SL-LMN, which adds a new current combination node. This architecture can bring new circuit design freedom, which expands the operating bandwidth of the load modulation network. Using the same prototype topology, the working mechanism of SL-LMN DPA is further illustrated based on three sets of comparative designs. To prove this theory, a broadband asymmetric DPA (ADPA) functioning over 1.9-2.9 GHz is developed and fabricated using two asymmetric GaN transistors. Under continuous wave excitation, the observed data indicates that the drain efficiency of this ADPA is 42.1%-68.9% at saturation and 45.5%-58.5% at 8 dB back-off, respectively. The ADPA has a maximum output power and saturated gain of 44–46 dBm and 6.8-10.9 dB, respectively.
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来源期刊
CiteScore
8.50
自引率
2.20%
发文量
86
期刊介绍: The IEEE Journal on Emerging and Selected Topics in Circuits and Systems is published quarterly and solicits, with particular emphasis on emerging areas, special issues on topics that cover the entire scope of the IEEE Circuits and Systems (CAS) Society, namely the theory, analysis, design, tools, and implementation of circuits and systems, spanning their theoretical foundations, applications, and architectures for signal and information processing.
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