%0 Journal Article
%T Research on behavioral models for RF power amplifier based on neural network<br>基于神经网络的射频功放行为模型研究*
%A REN Jian-wei
%A NAN Jing-chang
%A CONG Mi-fang
%A <br>任建伟
%A 南敬昌
%A 丛密芳
%J 计算机应用研究
%D 2011
%I 
%X Abstract: In order to design and optimize high-linearity power amplifier (PA), it is very important to build correct PA behavioral model in system-level simulation. This article mainly used Freescale semiconductor chip MRF5p21180 to carry on amplifier circuit design in the ADS .Carried on the MATLAB fitting simulation to the extracted data by BP and RBF as well as Cascading model BP-RBF. BP-RBF was presented on the basis of the two networks.Compared with voltage RMS error (RMSE) to validate the model accuracy, Compared with epochs and and convergence time to validate the model training speed, eventually the result derived that BP-RBF has better fitting function than other two models,having the important reference value to study Behavior model of RF power amplifier.
%K BP
%K RBF neural network
%K BP-RBF neural network
%K power amplifier
%K Fitting simulation<br>BP、RBF神经网络
%K BP-RBF神经网络
%K 功率放大器
%K 拟合仿真
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=3A46C46A95EA695916987F2447E4610F&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=450524CAAD043961&eid=BCCCE1B88B87184D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14