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Behavioral Modeling and Design of Predistortion for Wireless Transmitters with Multi-Branch RF Power Amplifier

机译:多分支RF功率放大器无线发射机预失真的行为建模与设计

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In this paper, behavioral modeling approach and predistortion design methods are proposed for wireless transmitters with multi-branch radio frequency (RF) power amplifiers (PAs). Multi -branch RF PA architectures are studied such as balanced RF PA systems and linear amplification with nonlinear component (LINC) systems. Conventional behavioral modeling using single input and single output data cannot extract the behaviors of RF PAs in each branch. The behavioral modeling method using separated input signals and weighted input identification is proposed to extract accurate behavioral models for each branch. A decentralized predistortion structure that consists of multi-branch memory polynomial architecture predistortion components is proposed. The proposed behavioral modeling method is used for the design of decentralized predistortion using indirect learning method. The performances of proposed modeling and predistortion method are evaluated by comparing the normalized mean square error (NMSE) values with conventional single-branch behavioral modeling and predistortion. The input signal is 10MHz long-term evolution (LTE) signal. The results show that the proposed behavioral modeling and decentralized predistortion architecture are suitable for wireless transmitters with multi-branch RF PAs.
机译:在本文中,提出了具有多分支射频(RF)功率放大器(PAS)的无线发射器的行为建模方法和预失真设计方法。研究了多种 - BRON RF PA架构,如平衡的RF PA系统和带非线性组分(LINC)系统的线性放大。使用单个输入和单个输出数据的传统行为建模不能提取每个分支中的RF PA的行为。建议使用分离输入信号和加权输入标识的行为建模方法来提取每个分支的准确行为模型。提出了由多分支存储器多项式架构预失真分量组成的分散的预失真结构。所提出的行为建模方法用于使用间接学习方法设计分散的预失真。通过将具有传统单支行为建模和预失真的归一化均线误差(NMSE)值进行比较来评估所提出的建模和预失真方法的性能。输入信号是10MHz长期演进(LTE)信号。结果表明,所提出的行为建模和分散的预失真架构适用于具有多分支RF PA的无线发射器。

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