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Support Vector Regression Model for Millimeter Wave Transitions

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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.

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Authors and Affiliations

  1. College of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Jicheng Meng

  2. College of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Lei Xia

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  1. Jicheng Meng
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  2. Lei Xia
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Correspondence to Jicheng Meng.

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Meng, J., Xia, L. Support Vector Regression Model for Millimeter Wave Transitions. Int J Infrared Milli Waves 28, 413–421 (2007). https://doi.org/10.1007/s10762-007-9212-1

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  • DOI: https://doi.org/10.1007/s10762-007-9212-1

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