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首页> 外文期刊>EURASIP journal on applied signal processing >Spectral analysis of polynomial nonlinearity with applications to RF power amplifiers
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Spectral analysis of polynomial nonlinearity with applications to RF power amplifiers

机译:多项式非线性的频谱分析及其在射频功率放大器中的应用

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摘要

The majority of the nonlinearity in a communication system is attributed to the power amplifier (PA) present at the final stage of the transmitter chain. In this paper, we consider Gaussian distributed input signals (such as OFDM), and PAs that can be modeled by memoryless or memory polynomials. We derive closed-form expressions of the PA output power spectral density, for an arbitrary nonlinear order, based on the so-called Leonov-Shiryaev formula. We then apply these results to answer practical questions such as the contribution of AM/PM conversion to spectral regrowth and the relationship between memory effects and spectral asymmetry.
机译:通信系统中的大多数非线性归因于发射机链最后阶段的功率放大器(PA)。在本文中,我们考虑了可以通过无记忆或记忆多项式建模的高斯分布输入信号(例如OFDM)和PA。我们基于所谓的Leonov-Shiryaev公式,得出任意非线性阶数的PA输出功率谱密度的闭式表达式。然后,我们将这些结果用于回答实际问题,例如AM / PM转换对频谱再生的贡献以及记忆效应与频谱不对称之间的关系。

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