用于有记忆非线性放大器的自适应预矫正器  

An Adaptive Nonlinear Predistorter for HPA with Memory in OFDM Systems

作　　者：路奇[1] 归琳[1] 方向忠[1] 

机构地区：[1]上海交通大学图像通信研究所,上海200040

出　　处：《电视技术》2006年第7期35-38,共4页Video Engineering

基　　金：国家自然科学基金项目(60332030)

摘　　要：提出了一种新的在OFDM系统中针对有记忆非线性放大器的自适应预矫正器的结构。先将有记忆的非线性放大器建模成一个维纳(Wiener)系统,然后通过串连一个LMS算法的自适应线性滤波器和一个基于查找表的无记忆预矫正器来实现对此类非线性系统的预矫正。这种结构的训练过程也相应地涉及到两个串连的自适应算法。同传统的Volterra预矫正器相比,该结构更为简单;同时,在记忆长度相同的情况下,性能也可以更好。In this paper, we propose a new structure for adaptively predistorting nonlinear HPA with memory in OFDM systems. After modeling the HPA with memory as a Wiener system, we use the cascade of a LMS adaptive linear filter and a memoryless LUT predistorter to construct the predistorter. And the predistorter＇s training process is achieved by cascading two adaptive algorithms as well. With less complexity, simulation results show that the proposed structure is effective and outperforms the Volterra predistorter.

关 键 词：非线性放大器 正交频分复用 查找表 最小均方误差准则(LMS) 预矫正器 Volterra方法 

分 类 号：TN722.75[电子电信—电路与系统]