A Suboptimal Approach to Antenna Design Problems With Kernel Regression
Abstract
This paper proposes a novel iterative algorithm based on a Kernel regression as a suboptimal approach to reliable and efficient antenna optimization. In our approach, the complex and non-linear cost surface calculated from antenna characteristics is fitted into a simple linear model using Kernels, and an argument that minimizes this Kernel regression model is used as a new input to calculate its cost using numerical simulations. This process is...
Paper Details
Title
A Suboptimal Approach to Antenna Design Problems With Kernel Regression
Published Date
Jan 1, 2019
Journal
Volume
7
Pages
17461 - 17468
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