Under-Sampling Digital Predistortion of Power Amplifier Using Multi-Tone Mixing Feedback Technique

Under-Sampling Digital Predistortion of Power Amplifier Using Multi-Tone Mixing Feedback Technique
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采用多音混合反馈技术的功率放大器欠采样数字预失真

DOI:
10.1109/tmtt.2021.3110237
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发表时间:
2021-09
影响因子:
4.3
通讯作者:
Songbai He
Songbai He
中科院分区:
工程技术1区
文献类型:
--
作者:
Jun Peng;Fei You;Songbai He

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提出了一种基于多音混合反馈的欠采样数字预失真技术(MTM-DPD)。与基于传统接收机的欠采样数字预失真(DPD)相比,该方法可以利用基于多音混合(MTM)的反馈信道同时降低采样率和捕获带宽。MTM-DPD是用进化的直接学习结构实现的,其中预失真器的系数是基于DPD模型的混叠反馈信号、预处理的输入信号和预处理的核来估计的。为了对输入信号和核进行预处理,详细分析了基于MTM的反馈通道的行为模型及其相应的辨识算法。实验结果表明,对于输入频率为40 MHz的氮化镓(GaN)基功率放大器,在频率间隔为7.68 MHz的17音LO信号激励下,采样率为15.36MSPS、捕获带宽为15.36 MHz的MTM-DPD可以将邻道功率比从−30.1dBc提高到−46.5dBc,误差矢量值从9.13%提高到1.76%。与传统的全采样DPD(FS-DPD)相比,MTM-DPD在保持良好线性化性能的同时,显著降低了反馈通道中模数转换器(ADC)的成本。
An under-sampling digital predistortion based on a multi-tone mixing feedback technique (MTM-DPD) is presented in this article. In contrast to the under-sampling digital predistortion (DPD) based on conventional receivers, the proposed method could simultaneously reduce the sampling rate and acquisition bandwidth using a multi-tone mixing (MTM)-based feedback channel. The MTM-DPD is implemented with an evolved direct learning architecture, where the coefficients of a predistorter are estimated based on the aliased feedback signal, preprocessed input signal, and preprocessed kernels of the DPD model. To preprocess the input signal and kernels, the behavioral model of the MTM-based feedback channel and its corresponding identification algorithm are analyzed in detailed. Experimental results show that for a gallium nitride (GaN)-based power amplifier (PA) with 40-MHz input, under the excitation of a 17 tone LO signal with frequency interval 7.68 MHz, the MTM-DPD with sampling rate 15.36 MSPS and acquisition bandwidth 15.36 MHz could improve the adjacent channel power ratio (ACPR) from −30.1 to −46.5 dBc and the error vector magnitude (EVM) from 9.13% to 1.76%. Compared with the conventional full sampling DPD (FS-DPD), the MTM-DPD could reduce the cost of analog-to-digital converters (ADCs) in feedback channel significantly while maintaining satisfactory linearization performance.
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