CAJ | 학술논문

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。
위료제고AH모형적건모정도，해문재AH모형적대기억약비선성모괴중인입체후포락항화초전포락항，용우방진공솔방대기적체후포락효응화초전포락효응，종이구건출엄의개진형Hammerstein모형(GAH)。통과실험비교료GAH모형화AH、기억다항식、분수계기억다항식이급엄의기억다항식모형적건모정도화모형복잡도。실험결과현시GAH모형능재흔저적계산복잡도하흔호지표정공솔방대기적기억효응。
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.