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基于记忆有理函数的功率放大器行为模型

     

摘要

Aiming at the nonlinear characteristics and memory effects of power amplifier,a memory rational function behavioral model,which is based on the memory polynomial model and memoryless rational function model,is proposed.The model coefficients were identified by conjugate gradient method.The estimation of the best model nonlinearity order and the best memory depth was carried out with the minimized the normalized mean squared error (MNSE).The model was validated using multi-carrier WCDMA signal and a MRF6S21140H power amplifier by measurement.The result indicates that the proposed model can achieve better model performance with less number of coefficients,compared with the memory polynomial model and memoryless rational function model.%针对功率放大器的非线性特性及记忆效应,提出了一种基于记忆有理函数的功放行为模型.在传统记忆多项式模型和无记忆有理函数模型基础上,构建记忆有理函数模型,并利用共轭梯度法辨识模型系数,同时比较不同记忆深度和不同非线性阶数下的归一化均方误差,获取最佳记忆深度和非线性阶数.采用多载波的WCDMA信号和MRF6S21140H功放来验证模型的有效性,并与记忆多项式模型、无记忆有理函数模型进行了比较.结果表明,记忆有理函数模型在减少系数数目的同时具有更好的逼近精度.

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