Enabling the Internet of Things: Reconfigurable power amplifier techniques using intelligent algorithms and the smith tube

C. Baylis, Matthew Fellows, Matthew Flachsbart, J. Barlow, Joseph Barkate, R. Marks
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Abstract

Future Internet of Things (IoT) devices will need to maintain high power efficiency while being able to reconfigure for changing performance requirements and operating frequencies. The design of quickly reconfigurable power amplifiers able to maintain high efficiency and meet spectral requirements will be critical to success. This paper discusses fast optimization techniques that will be useful in real-time optimization of transmitter power amplifiers: (1) a vector-based algorithm to find the load impedance giving the highest power-added efficiency (PAE) while keeping the adjacent-channel power ratio (ACPR) below a prespecified minimum, (2) the use of a spectral mask directly in the load-pull optimization in place of the ACPR, and (3) the extension of the Smith Chart to a three-dimensional, cylindrical “Smith Tube” for optimization involving an additional parameter: the waveform bandwidth. This paper builds a framework for design and the real-time optimization of reconfigurable, efficient, and spectrally compliant IoT power amplifiers.
实现物联网:使用智能算法和史密斯管的可重构功率放大器技术
未来的物联网(IoT)设备将需要保持高功率效率,同时能够根据不断变化的性能要求和工作频率进行重新配置。快速可重构功率放大器的设计能够保持高效率和满足频谱要求将是成功的关键。本文讨论了在发射功率放大器的实时优化中有用的快速优化技术:(1)一种基于矢量的算法,以找到具有最高功率附加效率(PAE)的负载阻抗,同时保持邻接信道功率比(ACPR)低于预定的最小值;(2)在负载-拉优化中直接使用频谱掩模代替ACPR;(3)将史密斯图扩展为三维圆柱形“史密斯管”,以进行涉及额外参数的优化:波形带宽。本文构建了一个可重构、高效、频谱兼容的物联网功率放大器的设计和实时优化框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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