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Expedited Gradient-Based Design Closure of Antennas Using Variable-Resolution Simulations and Sparse Sensitivity Updates
Abstract
Numerical optimization has been playing an increasingly important role in the design of contemporary antenna systems. Due to the shortage of design-ready theoretical models, optimization is mainly based on electromagnetic (EM) analysis, which tends to be costly. Numerous techniques have evolved to abate this cost, including surrogate-assisted frameworks for global optimization, or sparse sensitivity updates for speeding up local search. In the latter, CPU-heavy updates of the system response sensitivity through finite differentiation are suppressed based on, e.g., the magnitude of design variability during the optimization run. Another approach is to incorporate variable-resolution simulations. Recently, a technique exploiting a continuous spectrum of admissible model fidelity levels has been reported, thereby allowing for a considerable reduction of the computational expenditures. Seeking further savings, this work introduces an accelerated gradient-based algorithm with sparse sensitivity updates and variable-resolution EM simulations. Our technique is validated using four broadband antennas, and demonstrated to offer substantial (around eighty percent) savings over the benchmark while maintaining acceptable design quality.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/TAP.2021.3138487
- License
- Copyright (2022 IEEE)
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
no. 70,
pages 4925 - 4930,
ISSN: 0018-926X - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Pietrenko-Dąbrowska A., Kozieł S.: Expedited Gradient-Based Design Closure of Antennas Using Variable-Resolution Simulations and Sparse Sensitivity Updates// IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION -Vol. 70,iss. 6 (2022), s.4925-4930
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/tap.2021.3138487
- Sources of funding:
-
- COST_FREE
- Verified by:
- Gdańsk University of Technology
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