Premium
Kriging metamodels and design re‐utilization for fast parameter tuning of antenna structures
Author(s) -
Koziel Slawomir,
PietrenkoDabrowska Anna
Publication year - 2020
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.2811
Subject(s) - jacobian matrix and determinant , initialization , interpolation (computer graphics) , reflector (photography) , computer science , antenna (radio) , kriging , process (computing) , mathematical optimization , algorithm , topology (electrical circuits) , electronic engineering , mathematics , engineering , optics , physics , telecommunications , light source , frame (networking) , combinatorics , machine learning , programming language , operating system
The paper addresses the problem of computationally efficient electromagnetic (EM)‐driven design closure of antenna structures. The foundations of the presented approach are fast kriging interpolation metamodels, utilized for two purposes: (a) producing a good starting point for further parameter tuning, and (b) yielding a reasonable Jacobian matrix estimate to jump‐start the optimization procedure. The models are rendered using available designs, for example, obtained from the previous design work with the same antenna structure. The low cost of design closure is ensured by employing Broyden‐based trust‐region gradient search along with the aforementioned Jacobian initialization. Our methodology is demonstrated using two planar antennas, a dual‐band uniplanar dipole and a quasi‐Yagi with a parabolic reflector, both optimized within wide ranges of operating conditions (center frequencies, the dielectric permittivity of the antenna substrate). The re‐design process requires only a handful of EM analyses of the respective structure. The presented framework can be viewed as a convenient algorithmic tool that capitalizes on the existing information on the structure at hand to enable warm‐start parameter tuning.