Neural Networks for Nonlinear Modeling of Microwave Schottky Diodes

摘要：

Neural-network computational modules have recently gained recognition as an unconventional and useful tool for RF and microwave modeling and design.In this paper,we presentA study of modeling of microwave Schottky diode by using the neural network techniques,the diodes nonlinear power characteristics is analyzing based on neural network model. The results of computer simulation show that the output of the neural network model output is well accordance with the output of real nonlinear commercial harmonic-balance software.

关键词： Large signal neural networks nonlinear modefing Schottky diodes

作者: Anhui Liang Yanfeng Xu Shouqing Jia Guoquan Sun

作者单位: National Key Lab of Electronic Measurement Technology No.98 Xiangjiang Rd,Qingdao Economy and Technology Development Zone Shandong Province,266555 China

会议类型: 国际会议

会议名称: 2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)

会议地点: 南京

会议语种:英文

页码: 558-661

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）