一种带记忆效应的功率放大器非线性仿真分析  

Simulation Analysis of Nonlinear for a Power Amplifier with Memory

作　　者：刘锴[1] 游晓明[1] 刘升[2] 

机构地区：[1]上海工程技术大学电子电气工程学院,上海201620 [2]上海工程技术大学管理学院,上海201620

出　　处：《上海工程技术大学学报》2014年第3期256-261,共6页Journal of Shanghai University of Engineering Science

基　　金：国家自然科学基金资助项目(61075115);上海市教委科研创新重点资助项目(12zz185);上海市学科专业建设资助项目(xkcz1212)

摘　　要：针对目前带记忆效应的功率放大器非线性失真问题,基于限幅的基带预失真技术,采用目标规划给出了无记忆预失真器的矩阵模型.在满足输出功率最大化的同时,限制归一化均方误差值在满意的范围,并提出了有记忆非线性功率放大器的带抽头延时的反向传播神经网络(BPNN)模型.仿真结果表明,提出的实验方法精度高,能达到比较好的线性化效果.For the current problem of nonlinear distortion power amplifier with memory effects, a memoryless predistorter matrix model based on limiting baseband predistortion technique was proposed by goal programming. The normalized mean squared error was restruced at a satisfactory range while meeting the maximization of output power. Furthermore, a back- propagation neural network （BPNN） model, whick is combining nonlinear power amplifier with memory and tapped delay nodes was presented. Simulation result shows that the method proposed has a high experimental precision,and can achieve a better linearization effect.

关 键 词：功率放大器 预失真 目标规划 抽头延时前馈神经网络 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]