Model Correction and Optimization Framework for Expedited EM-Driven Surrogate-Assisted Design of Compact Antennas - Publication - Bridge of Knowledge

Search

Model Correction and Optimization Framework for Expedited EM-Driven Surrogate-Assisted Design of Compact Antennas

Abstract

Design of compact antennas is a numerically challenging process that heavily relies on electromagnetic (EM) simulations and numerical optimization algorithms. For reliability of simulation results, EM models of small radiators often include connectors which—despite being components with fixed dimensions—significantly contribute to evaluation cost. In this letter, a response correction method for antenna models without connector, based on a so-called network unterminating concept, has been proposed. Unterminating allows for obtaining electrical parameters of the connector embedded in the EM antenna model. They can be then utilized to refine the reflection characteristics of the EM antenna model without connector. The refined model has been optimized using a novel trust-region-based method. It exploits information gained from unsuccessful iterations to improve accuracy of the model and prevent premature convergence of the algorithm. The proposed design approach has been demonstrated using two antenna structures and compared to benchmark algorithms.

Citations

  • 4

    CrossRef

  • 0

    Web of Science

  • 4

    Scopus

Cite as

Full text

download paper
downloaded 41 times
Publication version
Accepted or Published Version
License
Copyright (2018 IEEE)

Keywords

Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
IEEE Antennas and Wireless Propagation Letters no. 17, edition 3, pages 468 - 471,
ISSN: 1536-1225
Language:
English
Publication year:
2018
Bibliographic description:
Bekasiewicz A.: Model Correction and Optimization Framework for Expedited EM-Driven Surrogate-Assisted Design of Compact Antennas// IEEE Antennas and Wireless Propagation Letters. -Vol. 17, iss. 3 (2018), s.468-471
DOI:
Digital Object Identifier (open in new tab) 10.1109/lawp.2018.2795532
Verified by:
Gdańsk University of Technology

seen 130 times

Recommended for you

Meta Tags