Switch-Based Variable Length Stubs Network for PA Load Sensitivity Reduction
Switch-Based Variable Length Stubs Network for PA Load Sensitivity Reduction
复制标题
基于开关的可变长度短截线网络，可降低 PA 负载敏感度
作者：
Cristiano F. Gonçalves;Filipe M. Barradas;P. Cabral;J. Pedro
在第五代(5G)多输入多输出(MIMO)收发器中，驱动天线阵列的功率放大器(PA)经历了不同的负载条件。事实上，每个天线单元的输入阻抗在史密斯图区域内发生变化，这一现象归因于相互耦合，这将影响功放的行为。尽管功率放大器的性能依赖于负载，但其输出功率和漏极效率等值线沿史密斯图中的特定直线几乎是恒定的，这一特性可用于在可变负载情况下提高功率放大器的性能。这项工作提出了一种压缩网络，具有基于开关的可变长度末梢，能够将2.1电压驻波比(VSWR)范围内的任何负载转换为纯阻性负载。该网络被设计、实现、测试并用于两个E类功率放大器的输出匹配网络(OMN)，能够补偿第一个功率放大器的输出功率变化和第二个功率放大器在规定的负载变化下的效率下降。该网络的创新之处在于，通过使用易于实现和低损耗(0.3db-0.5db)的网络，能够降低输出功率或效率负载敏感度，这在许多应用中都是非常需要的。通过适当调整短节和开关之间的距离，它还能够将略有不同的负载模式转换为其他最佳直线或曲线。
In Fifth Generation (5G) Multiple-Input Multiple-Output (MIMO) transceivers, Power Amplifiers (PAs) driving antenna arrays experience varying loading conditions. In fact, the input impedance of each antenna element changes within a Smith chart region, a phenomenon attributed to mutual coupling, which will affect PA behavior. Although PA performance is load dependent, its output power and drain efficiency contours are nearly constant along specific straight lines in the Smith chart, a characteristic that can be exploited to improve PA performance in variable load scenarios. This work presents a compression network, featuring switch-based variable length stubs, capable of transforming any load within a 2.1 Voltage Standing Wave Ratio (VSWR) circle into a purely resistive load. This network was designed, implemented, measured and used in the Output Matching Network (OMN) of two Class E PAs being able to compensate the output power variation of the first PA and the efficiency degradation of the second PA under the defined load variation. The innovation of this network is the capability to reduce output power or efficiency load sensibility, which is very much desired in many applications, by using an easily implementable and low loss (0.3dB-0.5dB) network. By properly adjusting the distance between stubs and switches it is also able to transform slightly different load patterns into other optimal lines or curves.
影响因子：
6.9
作者：
M. T. Ivrlac;J. A. Nossek
通讯作者：
J. A. Nossek