Low-Cost Antenna Optimization by Means of Gradient Search and Principal Components

Tomasson，Jon Atli1; Koziel，Slawomir1,2; Pietrenko-Dabrowska，Anna2; Cheng，Qingsha S.3

10.23919/ACES-China52398.2021.9582105

2021-07-28

978-1-6654-3377-8

2021 International Applied Computational Electromagnetics Society Symposium, ACES-China 2021, Proceedings

1-2

28-31 July 2021

Chengdu, China

The paper discusses low-cost design closure of antenna structures. Our approach exploits trust-region (TR) gradient search with antenna response gradients updated by a sparse application of finite differentiation, limited to the principal components of the Jacobian matrix. Numerical results demonstrate superiority of the method over benchmark procedures: sixty percent savings are achieved compared to the reference algorithm without compromising the design quality.

Antenna design design closure EM-driven design gradient-based optimization principal components

其他

英语

EI

20214711198480

Antennas ; Benchmarking ; Computational electromagnetics ; Costs ; Numerical methods

Electricity and Magnetism:701 ; Cost and Value Engineering; Industrial Economics:911 ; Algebra:921.1 ; Numerical Methods:921.6

2-s2.0-85119338254

Scopus

1.School of Science and Engineering,Reykjavik University,Reykjavik,Iceland
2.Gdansk University of Technology,Faculty of Electronics,Telecommunications and Inf.,Poland
3.Southern University of Science and Technology,Dept. Electrical and Electronic Eng.,Shenzhen,China

Tomasson，Jon Atli,Koziel，Slawomir,Pietrenko-Dabrowska，Anna,et al. Low-Cost Antenna Optimization by Means of Gradient Search and Principal Components[C],2021:1-2.