摘要
提出了一种用于卫星通信系统中由记忆功率放大器引起的16QAM信号非线性失真的高效数字自适应补偿方法。该方法使用通用记忆多项式模型和间接学习结构构造预失真系统,并使用QR分解递归最小二乘算法动态更新预失真参数。针对QR分解递归最小二乘算法不能直接更新系数矢量的问题,提出了一种称为"权值冲洗"的高效权值更新方法。计算机仿真结果表明该方法具有收敛速度快、系统性能稳定、补偿效果好等特点,并适合于大规模电路硬件实现。
An efficient digital adaptive method compensating for nonlinear distortions caused by power amplifiers with memory for 16QAM signal in satellite communication system is presented in this paper. The general memory polynomial （GMP） model and the indirect learning structure are employed to construct the predistortion system, and the QR decomposition recursive least squares （QRD-RLS） algorithm is used for update the predistortion parameter dynamically. According to the problem of the QRD-RLS algorithm operating without explicitly updating the coefficient vector, a new method named by ＂weight flushing＂ is proposed. The result of computer simulation shows that the method converges fast and robust and effective compensation, and is suitealde for the hardware implementation of VLSI.
出处
《电子测量与仪器学报》
CSCD
2009年第12期8-13,共6页
Journal of Electronic Measurement and Instrumentation
基金
国家高技术863计划(编号:2007AA01Z283)资助项目
关键词
功率放大器
记忆效应
数字预失真
QR分解
power amplifiers （PAs）
memory effects
digital predistortion （DPD）
QR decomposition
