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现代通信系统的通信频带越来越拥挤,容易导致传输信号产生失真。功率放大器是通信系统的主要器件,也是产生非线性失真的关键部件。为了降低传输信号的失真程度,减小对相邻频段的用户的干扰,功率放大器的线性化技术显得尤其重要。预失真技术由于应用范围广,自适应性强,效率高等特点成为消除非线性失真的首选。考虑到功率放大器的非线性特性和记忆效应,本文提出一种基于预失真原理,利用Wiener模型来建模的线性化技术,并提出一种有效提取Wiener模型参数的方法。仿真结果表明该技术能有效补偿功率放大器的非线性失真和记忆效应,改进系统性能。
The communication band of the modern communication system is more and more crowded, which easily leads to the distortion of the transmission signal. The power amplifier is the main component of the communication system, it is also the key part that produces nonlinear distortion. In order to reduce the distortion of the transmitted signal and reduce the interference to users in adjacent frequency bands, the linearization technology of the power amplifier is particularly important. Pre-distortion technology due to a wide range of applications, self-adaptability, high efficiency become the first choice to eliminate nonlinear distortion. Considering the nonlinearity and memory effect of the power amplifier, a novel linearization technique based on pre-distortion principle and Wiener model is proposed in this paper. A method to extract the parameters of Wiener model is proposed. The simulation results show that this technique can effectively compensate the nonlinear distortion and memory effect of the power amplifier and improve the system performance.