Support Vector Regression Model for Millimeter Wave Transitions |
| |
Authors: | Jicheng Meng and Lei Xia |
| |
Institution: | (1) College of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China;(2) College of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China |
| |
Abstract: | In this paper, we introduce a new method, support vector regression (SVR) method, to model millimeter wave transitions. SVR
is based on the structural risk minimization (SRM) principle, which leads to good generalization ability for regression problem.
The SVR model can be electromagnetically developed with a set of training data and testing data which produced by the electromagnetic
simulation. Two Ka-band millimeter wave transitions, i.e., waveguide to microstrip transition and coaxial to waveguide adapter,
are used as examples to validate the method. Experimental results show that the developed SVR models have a good predictive
ability, and they are useful for interactive CAD of millimeter wave transitions. |
| |
Keywords: | Waveguide to microstrip transition Coaxial to waveguide adapter Millimeter wave Support vector regression (SVR) EM-SVR |
本文献已被 SpringerLink 等数据库收录! |
|