Efficient Optimization of a Ka-Band MMIC Sub-Harmonically Pumped Image Rejection Diode Mixer

摘要：

An efficient optimization technique,support vector regression (SVR) approach,is proposed for designing of Ka-band MMIC sub-harmonically pumped image rejection diode mixer.This SVR approach comes from the support vector machine(SVM) learning theory,which is based on the structural risk minimization (SRM) principle and leads good generalization ability. WithThis method,a Ka-band MMIC 4th harmonic image rejection diode mixer is designed using comercial United Monolithic Semiconductors process. Details of design approach and outcome of performance simulations is presented.

作者: Y.Xu Y.Guo R.Xu B.Yan G.Liu

作者单位: School of Electronic Engineering,University of Electronic Science and Technology of China Chengdu,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: 862-864

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）