摘要
数字基带预失真技术是克服高功率放大器非线性失真最有效的方法之一。早期对预失真技术的研究大多局限与无记忆非线性,但对于宽带和多载波应用,记忆非线性失真将不能再被忽略,无记忆预失真非线性补偿机制可能失效。文中研究了卫星通信系统中大功率记忆非线性功放的自适应基带预失真线性化技术,提出了一种基于记忆多项式的非直接学习结构的自适应基带预失真方案,给出了自适应算法。仿真结果表明,该方案能有效抑制带外频谱扩散,减小带内失真,降低误比特率,实现有记忆非线性大功率放大器的自适应预失真。
Digital baseband predistortion is a highly cost-effective way to linearize high power amplifiers （ HPAs ）, but most existing architectures assume that the HPA has a memoryless nonlinearity. For wider bandwidth and multi-carriers applications, HPA memory effects can no longer be ignored, and memoryless predistortion has limited effectiveness. In this paper, an adaptive baseband predistortion linearization technique for nonlinear HPAs with memory in satellite communication systems is investigated. An adaptive predistortion concept based on memory polynomials which is constructed using the indirect learning architecture and its adaptive algorithm are presented. Simulation results show that the proposed adaptive predistorter can effectively suppress spectrum extension, reduce in-band distortion and BER for HPA with memory.
出处
《现代雷达》
CSCD
北大核心
2006年第6期59-62,共4页
Modern Radar
关键词
卫星通信
预失真
记忆非线性失真
记忆多项式
satellite communication
predistortion
nonlinear distortion with memory
memory polynomials
