基于权重双核模型的宽带功放行为建模方法

doi:10.3969/j.issn.0372-2112.2018.06.012

电子学报 ›› 2018, Vol. 46 ›› Issue (6): 1357-1364.DOI: 10.3969/j.issn.0372-2112.2018.06.012

基于权重双核模型的宽带功放行为建模方法

李伟, 孟进, 葛松虎, 何方敏, 李毅

海军工程大学舰船综合电力技术国防科技重点实验室, 湖北武汉 430033

收稿日期:2017-01-03 修回日期:2017-08-21 出版日期:2018-06-25
- 作者简介:
- 李伟,男,1982年7月出生,河南信阳人.主要研究方向为自适应信号处理、射频功率放大器设计以及宽带功放行为建模和畸变补偿方法.E-mail:rf_liwei@163.com;孟进,男,1977年11月出生,河南桐柏人.主要研究方向为舰船系统的电磁兼容和干扰防护技术.E-mail:mengjinemc@163.com;葛松虎,男,1987年2月出生,河南扶沟人.主要研究方向为干扰消除技术、通信信号数字处理技术和无线通信系统优化设计.E-mail:gesonghu@126.com;何方敏,男,1982年4月出生,湖北天门人.主要研究方向为电磁兼容和自适应干扰对消.E-mail:lightshoer@sina.com;李毅,男,1977年6月出生,湖南益阳人.主要研究方向为电磁兼容、自适应干扰对消和RF电路理论设计.E-mail:liyihnyy@sina.com
- 基金资助:
- 国家自然科学基金优秀青年项目 (No.51422705）

Behavior Modeling of Broadband Power Amplifier Based on Weighted Two Box Model

LI Wei, MENG Jin, GE Song-hu, HE Fang-ming, LI Yi

National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, Hubei 430033, China

Received:2017-01-03 Revised:2017-08-21 Online:2018-06-25 Published:2018-06-25
- Supported by:
- National Natural Science Foundation of China for Excellent Youth Schoolars (No.51422705)

摘要/Abstract

摘要： 针对宽带功放行为建模和畸变补偿问题，提出了一种新的权重双盒模型.该模型采用无记忆子模型和记忆子模型权重级联的方法分别对宽带功放的静态非线性和动态非线性进行级联建模.首先，利用无记忆子模型对输入信号幅值进行压缩，降低静态畸变部分模型的拟合误差，并在子模型输出端进行解权值，保证功放的饱和驱动特性；接着，构建权重记忆子模型，利用信号幅值相关的权值函数动态的调整高低功率动态畸变子模型的权重比例.实验结果表明，在不同信号驱动情况下，本文方法在降低计算复杂度的同时，保持了更好的建模精度和畸变补偿能力.

关键词: 功率放大器, 行为建模, 畸变补偿, 数字预失真, 记忆多项式

Abstract: This paper proposes a weighted two-box model to solve the behavior modeling and distortion compensation problem of broadband RF power amplifier.The model,including the memoryless sub-model and memory sub-model,is used to model the static nonlinear and dynamic nonlinear of broadband power amplifiers.First of all,the input signal amplitude is compressed in weighted memoryless sub-model,which can effectively reduce the fitting error of the static distortion model.And the output value of the sub model is decompressed to ensure the saturation driving performance of the amplifier.Second,the weight memory sub-model is constructed,and is used to adjust the low and high power dynamic distortion sub model dynamically based on the weight function related to signal amplitude.The experimental results show that under different signal driving conditions,the proposed method can reduce the computational complexity while maintain better modeling accuracy and distortion compensation capability.

Key words: power amplifier, behavioral modeling, distortion compensation, digital pre-distortion, memory polynomial

中图分类号:

TN919

李伟, 孟进, 葛松虎, 等. 基于权重双核模型的宽带功放行为建模方法[J]. 电子学报, 2018, 46(6): 1357-1364.

LI Wei, MENG Jin, GE Song-hu, et al. Behavior Modeling of Broadband Power Amplifier Based on Weighted Two Box Model[J]. Acta Electronica Sinica, 2018, 46(6): 1357-1364.

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基于权重双核模型的宽带功放行为建模方法

Behavior Modeling of Broadband Power Amplifier Based on Weighted Two Box Model

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