A Complexity-Reduced TD-PHD Model for Digital Predistortion of 5G Handset Power Amplifiers With Load Mismatch

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Xin Liu, Xiao Huang, Yuhong Wei, Huanhuan Jia, Yang Lu, Ziyue Zhao, Chupeng Yi, Ting Feng, Xiao'ou Song, Xiaohua Ma
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引用次数: 0

Abstract

Power amplifiers (PAs) in mobile handsets are sensitive to changes in antenna impedance, thus suffering from load mismatch and generating complicated nonlinear distortion frequently. To solve this issue, a complexity-reduced time domain poly-harmonic distortion (CR-TD-PHD) model is proposed for the digital predistortion (DPD) linearization of handset PAs with load mismatch. By implementing a set of modified dual-input magnitude-selective affine (MSA) functions, the proposed CR-TD-PHD model can describe the inter-modulation terms of the input signal and reflection signal accurately while avoiding the use of high-order polynomial functions. Experimental tests are carried out on a load-mismatched PA with a 100-MHz 5G NR signal, and the results demonstrate that the proposed CR-TD-PHD model not only successfully reduces the complexity but also retains high linearization accuracy.

负载失配5G手机功率放大器数字预失真的复杂度降低TD-PHD模型
手机功率放大器对天线阻抗的变化非常敏感,容易产生负载失配和复杂的非线性畸变。为了解决这一问题,提出了一种降低复杂度的时域多谐失真(CR-TD-PHD)模型,用于负载失配的手机放大器的数字预失真(DPD)线性化。本文提出的CR-TD-PHD模型通过实现一组改进的双输入幅度选择性仿射函数,可以准确地描述输入信号和反射信号的互调制项,同时避免了使用高阶多项式函数。实验结果表明,CR-TD-PHD模型不仅有效地降低了模型的复杂度,而且保持了较高的线性化精度。
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来源期刊
CiteScore
4.60
自引率
6.20%
发文量
101
审稿时长
>12 weeks
期刊介绍: Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models. The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics. Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.
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