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Nonlinearity Analysis and Predistortion of 4G Wireless Communication Systems

机译:4G无线通信系统的非线性分析与预失真

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摘要

The nonlinearity of RF power amplifiers (PA) is one of critical concerns for RF designers because it causes spectral regrowth related to in-band and out-of-band spurious emissions control in communication standards. Traditionally, RF power amplifiers must be backed off considerably from the peak of their power level in order to prevent spectral regrowth. The digital predistortion (DPD) technique is being widely used for compensation of the nonlinearity of RF power amplifiers, as the high power efficiency becomes increasely important in wireless communication systems.However, the latest generations of communication systems, such as Wi-Fi, WiMAX, and LTE, using wider bandwidth have some additional memory distortion, other than the traditional memoryless distortion. The distortion caused by memory effect makes the traditional predistorter not precise any more for the PA linearization.In this dissertation, the traditional prediction of 3rd order memoryless spectrum regrowth is applied to 4G communication signals in terms of the 3rd intercept point of PAs, based on the previous researches in Portland State University led by Professor Fu Li. Then, the spectrum regrowth prediction is extended to an arbitrarily high order with intercept points of an RF power amplifier. A simple predistortion method which enables direct calculation of the predistorter coefficients from the intercept points is also proposed.Furthermore, the memory effect is taken into account for both PA modeling and predistortion. A simplified Hammerstein structure based method is proposed to analyze the nonlinear characteristic of PAs more precisely and completely. By applying the inverse structures of the PA model, the proposed predistorter corrects both the traditional memoryless nonlinear distortions and the memory effect that may exist in RF power amplifiers. The order of nonlinearity and depth of memory of a predistorter can be chosen from 0 to any arbitrarily high number. This increases the flexibility for designers to decide how to linearize power amplifier effectively and efficiently.
机译:RF功率放大器(PA)的非线性是RF设计人员的关键问题之一,因为它会导致与通信标准中的带内和带外杂散发射控制相关的频谱再生。传统上,RF功率放大器必须从其功率水平的峰值大幅降低,以防止频谱再生。随着高功率效率在无线通信系统中变得越来越重要,数字预失真(DPD)技术已被广泛用于补偿RF功率放大器的非线性。然而,最新一代的通信系统,例如Wi-Fi,WiMAX以及使用较宽带宽的LTE除了传统的无记忆失真之外,还有一些其他的记忆失真。由记忆效应引起的失真使得传统的预失真器不再能够精确地进行PA线性化。本文基于PA的第三截点,将传统的三阶无记忆频谱再生长预测应用于4G通信信号。傅立教授在波特兰州立大学进行的先前研究。然后,利用RF功率放大器的截取点将频谱再生长预测扩展到任意高阶。提出了一种简单的预失真方法,该方法可以从截距点直接计算预失真器系数。此外,在PA建模和预失真中都考虑了记忆效应。提出了一种简化的基于Hammerstein结构的方法,可以更精确,更完整地分析PA的非线性特性。通过应用PA模型的逆结构,所提出的预失真器既校正了传统的无记忆非线性失真,又校正了射频功率放大器中可能存在的记忆效应。预失真器的非线性程度和存储深度可以从0到任意高的数字中选择。这为设计人员增加了决定如何有效和高效地线性化功率放大器的灵活性。

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    Li Xiao;

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