自适应数字预失真系统的Householder块精确逆QR分解递归最小二乘法

doi:10.3969/j.issn.0255-8297.2013.04.003

应用科学学报 ›› 2013, Vol. 31 ›› Issue (4): 345-352.doi: 10.3969/j.issn.0255-8297.2013.04.003

自适应数字预失真系统的Householder块精确逆QR分解递归最小二乘法

李明玉，刘金亭，冯文江，蒋阳

重庆大学通信工程学院，重庆400044

收稿日期:2011-08-14 修回日期:2011-11-19 出版日期:2013-07-27 发布日期:2011-11-19
作者简介:李明玉，博士，讲师，研究方向：无线通信、高效线性发射机技术，E-mail: myli@cqu.edu.cn；冯文江，教授，博导，研究方向：移动通信、认知无线电等，E-mail: fengwj@cqu.edu.cn
基金资助:
中央高校基本科研业务费(No.CDJZR12160006)资助

Householder Block Exact Inverse QR-Decomposition Recursive Least Squares Method in Adaptive Digital Predistortion System

College of Communication Engineering, Chongqing University, Chongqing 400044, China

Received:2011-08-14 Revised:2011-11-19 Online:2013-07-27 Published:2011-11-19

摘要/Abstract

摘要： 在非常数包络调制系统中，数字预失真技术已成功应用于线性化功率放大器. 文中提出一种适用于非线性功率放大器宽带数字预失真的增强记忆多项式模型. 与传统的记忆多项式和广义记忆多项式模型相比，该模型通过包含Volterra模型的交叉联合记忆项，在保持低复杂性的同时给出了优越的线性化性能. 预失真系统的参数估计使用Householder块精确逆QR分解递归最小二乘算法，通过计算机仿真研究了Householder块精确逆QRD-RLS算法的性能. 对强非线性AB类功率放大器进行了实验测量，并收集相应的复包络IQ基带数据，根据这些数据建立行为模型并验证预失真器性能. 结果表明，对瞬时带宽为5 MHz的WCDMA输入信号，在5 MHz频
率偏移处将ACPR改善了25 dB.

关键词: 功率放大器, 非线性, 记忆效应, 数字预失真, Householder 块精确

Abstract: Digital predistortion has been proposed to linearize the power amplifier (PA) for nonconstant envelope modulation schemes. In this paper, we propose an enhanced memory polynomial model for wideband digital predistortion of nonlinear power amplifiers. By including the cross-combination memory terms of
Volterra model, the proposed model is much less complex while maintains excellent linearity performance as compared to the conventional memory polynomial and generalized memory polynomial model. The adaptive parameter estimation of the predistortion system is realized using a householder block exact QR-decompositionbased recursive least squares (QRD-RLS) algorithm. Performance of the householder block exact inverse QRDRLS
algorithm is studied via computer simulations. Measurements are carried out for a highly nonlinear class-AB PA. The captured IQ baseband signal of the PA is used for behavioral model generation and predistorter performance validation. The results show that correction of an adjacent channel power ratio (ACPR) up to 25 dB is achieved at 5 MHz frequency offset for a WCDMA input having 5 MHz instantaneous bandwidth.

Key words: power amplifiers (PAs), nonlinear, memory effects, digital predistortion (DPD), Householder block precision

中图分类号:

TN925

李明玉，刘金亭，冯文江，蒋阳. 自适应数字预失真系统的Householder块精确逆QR分解递归最小二乘法[J]. 应用科学学报, 2013, 31(4): 345-352.

LI Ming-yu, LIU Jin-ting, FENG Wen-jiang, JIANG Yang. Householder Block Exact Inverse QR-Decomposition Recursive Least Squares Method in Adaptive Digital Predistortion System[J]. Journal of Applied Sciences, 2013, 31(4): 345-352.

参考文献

[1] GUAN L, ZHU A. Low-cost FPGA implementation of volterra series-based digital predistorter for RF power amplifiers [J]. IEEE Transactions on Microwave Theory and Techniques, 2010, 58(4): 866-872.

[2] JIANG H, WILFORD P A. Digital predistortion for power amplifiers using separable functions [J]. IEEE Transactions on Signal Processing, 2010, 58(8): 4121-4130.

[3] MOON J, KIM B. Enhanced Hammerstein behavioral model for broadband wireless transmitters [J]. IEEE Transactions on Microwave Theory and Techniques, 2011, 59(1): 924-933.

[4] LIU T, BOUMAIZA S, GHANNOUCHI F M. Augmented Hammerstein predistorter for linearization of broadband wireless transmitters [J]. IEEE Transactions on Microwave Theory and Techniques, 2006, 54(4): 1340-1349.

[5] GILABERT P L, CESARI A, MONTORO G, BERTRAN E. DILHAC J M. Multi-lookup table FPGA implementation of an adaptive digital predistorter for linearizing RF power amplifiers with memory effects [J]. IEEE Transactions on Microwave Theory and Techniques, 2008, 56(2): 372-384.

[6] EUN C, POWERS E J. A new Volterra predistorter based on the indirect learning architecture [J]. IEEE Transactions on Signal Processing, 1997, 45(1): 223-227.

[7] SAFARI N, TANEM J P, TERJE R. A block-based predistortion for high power amplifier linearization. IEEE Transactions on Microwave Theory and Techniques, 2006, 54(6): 2813-2820.

[8] ZHOU D, DEBRUNNER V. Novel adaptive nonlinear predistorters based on the direct learning algorithm [J]. IEEE Transactions on Signal Processing, 2007, 55(1): 120-133.

[9] MORGAN D R, MA Z, KIM J, ZIERDT M G, PASTALAN J. A generalized memory polynomial model for digital predistortion of RF power amplifiers [J]. IEEE Transactions on Signal Processing, 2006, 54(10): 3852-3860.

[10] CARLOS C C, JAVIER R T, MARIA J M A, JESUS M C, A new approach to pruning Volterra models for power amplifiers [J]. IEEE Transactions on Signal Processing, 2010, 58(4): 2113-2120.

[11] RAWAT M, RAWAT K, GHANNOUCHI F M. Adaptive digital predistortion of wireless power amplifiers/ transmitters using dynamic real-valued focused time- delay line neural networks [J]. IEEE Transactions on Microwave Theory and Techniques, 2010, 58(1): 95-104

[12] JIMENEZ V P G, JABRANE Y, ARMADA A G, et al. High power amplifier pre-distorter based on neural-fuzzy systems for OFDM signals [J]. IEEE Transactions on Broadcasting, 2011, 57(1): 149-158

[13] YOUNES M, HAMMI O, KWAN A, GHANNOUCHI F M. An accurate complexity-reduced “PLUME” model for behavioral modeling and digital predistortion of RF power amplifiers [J]. IEEE Transactions on Industrial Electronics, 2011, 58(4): 1397-1405.

[14] TANG C F T, LIU K J R, HSIEH S F, YAO K. VLSI algorithms and architectures for complex householder transformation with applications to array processing [J]. Journal of VLSI Signal Processing, 1992(4): 53-68.

[1]	蒋林, 易安林, 盘艳, 闫连山, 潘炜, 罗斌. 多维光纤通信系统性能监测技术[J]. 应用科学学报, 2020, 38(4): 542-558.
[2]	骆思雨, 许岩, 李正璇, 宋英雄, 汪敏. 下一代光接入网中物理层关键技术研究进展[J]. 应用科学学报, 2020, 38(4): 612-629.
[3]	迟楠, 牛文清, 贾俊连, 哈依那尔. 基于抗非线性SVM的几何整形可见光通信系统[J]. 应用科学学报, 2020, 38(4): 647-658.
[4]	袁红林, 陆小丹, 徐晨. 基于B-Spline神经网络的宽带通信发射机指纹估计[J]. 应用科学学报, 2019, 37(1): 12-23.
[5]	陈龙胜, 宁晓明. 四旋翼无人机预设性能非线性PI串级姿态控制[J]. 应用科学学报, 2019, 37(1): 137-150.
[6]	姜雪莹, 施惠元, 苏成利, 李平. 基于TSA的非线性神经网络预测控制[J]. 应用科学学报, 2018, 36(5): 870-878.
[7]	赵平, 蒋沅. 输入饱和CE150直升机模型的复合非线性反馈控制[J]. 应用科学学报, 2018, 36(3): 553-566.
[8]	陈龙胜, 王琦. 不确定连续系统预设性能非线性PID控制[J]. 应用科学学报, 2017, 35(6): 786-796.
[9]	刘日，孙秀霞，李大东，董文瀚. 反馈线性化超低空空投抗侧风滑模控制律设计[J]. 应用科学学报, 2014, 32(3): 311-318.
[10]	周明，严壮志，黄彬. 非线性图像扩散LB 模型的CUDA 算法设计与实现[J]. 应用科学学报, 2014, 32(1): 85-92.
[11]	TANG Zhi-ling1,2, YANG Xiao-niu3, LI Jian-dong1. 通信源个体特征的多目标优化辨识[J]. 应用科学学报, 2012, 30(6): 559-565.
[12]	王宇飞，姜长生，吴庆宪. 非线性系统的广义模糊控制[J]. 应用科学学报, 2012, 30(4): 423-426.
[13]	王坚浩1，胡剑波1;2，张博锋2. 应用非线性干扰观测器的反推终端滑模飞行控制[J]. 应用科学学报, 2012, 30(4): 408-414.
[14]	张宇华1;2，姜建国1，郜登科1. 结合非线性动态面和前馈补偿的挖泥船动力定位控制[J]. 应用科学学报, 2012, 30(2): 203-208.
[15]	谭晓衡，胡洋，刘煜. AM-AM变换对卫星跟踪和数据中继DOA估计的影响[J]. 应用科学学报, 2010, 28(5): 470-475.

自适应数字预失真系统的Householder块精确逆QR分解递归最小二乘法

Householder Block Exact Inverse QR-Decomposition Recursive Least Squares Method in Adaptive Digital Predistortion System

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价