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Generalization of RF Power Amplifiers' Behavioral Model Using Memory Polynomial/Volterra Series

机译:记忆多项式/ Volterra级数对射频功率放大器行为模型的概括

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Many radio frequency (RF) power amplifiers (PAs) behavioral models have been developed in the past decades. Typical among them are Wiener model, Hammerstein model, Wiener-Hammerstein model, memory polynomial model, Volterra-based model, neural networks model. All these models have become powerful tools in modeling the RF PAs and the PAs linearization. Yet their formulations appear to be unrelated. We use memory polynomial and Volterra series to generalize all these different behavioral models. The significance of this paper is twofold: 1) all the RF PAs behavioral models can be unified by memory polynomial and Volterra series and 2) any other new models may be developed with memory polynomial and Volterra series framework.
机译:在过去的几十年中,已经开发了许多射频(RF)功率放大器(PA)行为模型。其中典型的是维纳模型,哈默斯坦模型,维纳-汉默斯坦模型,记忆多项式模型,基于沃尔泰拉的模型,神经网络模型。所有这些模型已成为建模RF PA和PA线性化的强大工具。然而,它们的表述似乎无关。我们使用记忆多项式和Volterra级数来概括所有这些不同的行为模型。本文的意义有两点:1)可以通过记忆多项式和Volterra级数统一所有RF PA行为模型; 2)可以使用记忆多项式和Volterra级数框架开发任何其他新模型。

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