Nonlinear distortion compensation method based on Volterra filter in UFMC system

WANG Zhao-he; HUANG Lei; WANG Yan-jie; LIU Ning-ke; ZHOU Rui; LI Ying-shan

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Nonlinear distortion compensation method based on Volterra filter in UFMC system

更新时间：2026-09-04

- Nonlinear distortion compensation method based on Volterra filter in UFMC system
- Vol. 37, Issue 1, Pages: 1-6(2020)
- 作者机构：
  
  1. 南开大学电子信息与光学工程学院,天津,300350
  2. 天津市光电传感器与传感网络技术重点实验室,天津,300351
- 作者简介：
- 基金信息：
- DOI：
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- Published：2020
- 稿件说明：
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汪昭河, 黄蕾, 王艳杰, 刘宁珂, 周睿, 李英善. UFMC系统中基于Volterra滤波器的非线性失真补偿方案[J]. 微电子学与计算机, 2020, 37(1): 1-6, 13.

WANG Zhao-he, HUANG Lei, WANG Yan-jie, et al. Nonlinear distortion compensation method based on Volterra filter in UFMC system[J]. 2020, 37(1): 1-6.
汪昭河, 黄蕾, 王艳杰, 刘宁珂, 周睿, 李英善. UFMC系统中基于Volterra滤波器的非线性失真补偿方案[J]. 微电子学与计算机, 2020, 37(1): 1-6, 13. DOI：

WANG Zhao-he, HUANG Lei, WANG Yan-jie, et al. Nonlinear distortion compensation method based on Volterra filter in UFMC system[J]. 2020, 37(1): 1-6. DOI：

摘要

为实现通用滤波多载波(UFMC)通信系统高效、可靠的通信性能，需在最大程度上补偿由记忆型高功率放大器(HPA)引起的非线性失真.为解决HPA造成的失真问题，本文提出了一种基于Volterra滤波器的非线性失真补偿(V-NLDC)技术.该技术利用了Volterra级数的稀疏特性和能够模拟任意精度非线性系统的性质以逐次逼近的方式对信号进行预失真.将预失真后的信号传送至HPA，然后采用噪声消除器做进一步噪声消除处理，以达到更小失真度的目的.同时，本研究采用收敛速度快、性能稳定的自适应最小二乘法(RLS)，可根据环境变化自适应地计算Volterra滤波器和噪声消除器的系数.通过大量蒙特卡罗仿真实验证实了所提出的非线性失真补偿技术可以很好的补偿由记忆型HPA非线性失真所造成的影响，从而优化系统性能.

Abstract

In order to achieve efficient and reliable communication performance of the universal filter multi-carrier (UFMC) system

it is necessary to compensate for the nonlinear distortion caused by high power amplifier (HPA) with memory. In this paper

nonlinear distortion compensation method based on Volterra filter (V-NLDC) is proposed to solve the nonlinear distortion problem caused by HPA. Where

by using the Volterra series property of sparsity and accurate representation of nonlinear system

pre-distortion is first processed to modify transmitter signal with successive method. And secondly the pre-distorted signal is transmitted to HPA and finally further noise elimination is performed using a noise canceller to achieve a smaller distortion. In the whole process

the adaptive recursive least-square (RLS) method with fast convergence speed and stable performance is used to calculate the coefficients of Volterra and linear filters based on different environment. Through Monte Carlo simulation experiments

it is confirmed that the nonlinear distortion compensation technique can compensate for the influence caused by memory HPA nonlinear distortion and optimize the system performance.

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references

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