计算机应用研究2011，Vol.28Issue(3)：845-847,3.DOI:10.3969/j.issn.1001-3695.2011.03.012
基于神经网络的射频功放行为模型研究
Research on behavioral models for RF power amplifier based on neural network
摘要
Abstract
In order to design and optimize high-linearity power amplifier ( PA) , it is very important to build correct PA beha vioral model in system-level simulation. This paper mainly used freescale semic onductor chip MRF5 P21180 to carry on ampli fier circuit design in the ADS. Carried on the MATLAB fitting simulation to the extracted data by BP and RBF as well as cas cading model BP-RBF. Presented BP-RBF 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 had better fitting function than other two models, having the important reference value to study behavior model of RF power amplifier.关键词
反向传播、径向基核函数神经网络/反向传播-径向基核函数神经网络/功率放大器/拟合仿真分类
信息技术与安全科学引用本文复制引用
任建伟,南敬昌,丛密芳..基于神经网络的射频功放行为模型研究[J].计算机应用研究,2011,28(3):845-847,3.基金项目
国家自然科学基金资助项目(60971048) （60971048）
辽宁省博士启动基金资助项目(20091033) （20091033）
辽宁工程技术大学研究生科研立项项目(Y201000506) （Y201000506）
