基于广义改进型Hammerstein模型的宽带射频功率放大器建模

摘要

为了提高AH模型的建模精度，该文在AH模型的带记忆弱非线性模块中引入滞后包络项和超前包络项，用于仿真功率放大器的滞后包络效应和超前包络效应，从而构建出广义改进型Hammerstein模型(GAH)。通过实验比较了GAH模型和AH、记忆多项式、分数阶记忆多项式以及广义记忆多项式模型的建模精度和模型复杂度。实验结果显示GAH模型能在很低的计算复杂度下很好地表征功率放大器的记忆效应。%In order to improve the modeling accuracy of the AH model,this paper introduces some lagging envelope terms and leading envelope terms to the weak nonlinear module with memory in the AH model to simulate the lagging and the leading envelope effects of the broadband RFPA. In this way, a Generalized Augmented Hammerstein (GAH) model is proposed. This paper experimentally compares the modeling accuracy and model computational complexity of the GAH, AH, memory polynomial, fractional-order memory polynomial and generalized memory polynomial models. The experimental results illustrate that the GAH model can characterize the memory effects of the RFPA well with low computational complexity.