Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Standard

Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization. / Koziel, Slawomir; Madsen, Kaj.

2012 IEEE MTT-S International Microwave Symposium Digest (MTT). IEEE, 2012. (I E E E - M T T S International Microwave Symposium. Digest).

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Harvard

Koziel, S & Madsen, K 2012, 'Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization'. in 2012 IEEE MTT-S International Microwave Symposium Digest (MTT). IEEE. I E E E - M T T S International Microwave Symposium. Digest, , 10.1109/MWSYM.2012.6257773

APA

Koziel, S., & Madsen, K. (2012). Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization. In 2012 IEEE MTT-S International Microwave Symposium Digest (MTT). IEEE. (I E E E - M T T S International Microwave Symposium. Digest). 10.1109/MWSYM.2012.6257773

CBE

Koziel S, Madsen K. 2012. Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization. In 2012 IEEE MTT-S International Microwave Symposium Digest (MTT). IEEE. (I E E E - M T T S International Microwave Symposium. Digest). Available from: 10.1109/MWSYM.2012.6257773

MLA

Koziel, Slawomir and Kaj Madsen "Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization". 2012 IEEE MTT-S International Microwave Symposium Digest (MTT). IEEE. 2012. (I E E E - M T T S International Microwave Symposium. Digest). Available: 10.1109/MWSYM.2012.6257773

Vancouver

Koziel S, Madsen K. Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization. In 2012 IEEE MTT-S International Microwave Symposium Digest (MTT). IEEE. 2012. (I E E E - M T T S International Microwave Symposium. Digest). Available from: 10.1109/MWSYM.2012.6257773

Author

Koziel, Slawomir; Madsen, Kaj / Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization.

2012 IEEE MTT-S International Microwave Symposium Digest (MTT). IEEE, 2012. (I E E E - M T T S International Microwave Symposium. Digest).

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Bibtex

@inbook{493d2c79fc834be09941272440af4d27,
title = "Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization",
keywords = "Computer-aided design (CAD), knowledge-driven design, Space Mapping, Simulation-based tuning, Surrogate modeling",
publisher = "IEEE",
author = "Slawomir Koziel and Kaj Madsen",
year = "2012",
doi = "10.1109/MWSYM.2012.6257773",
isbn = "978-1-4673-1088-8",
series = "I E E E - M T T S International Microwave Symposium. Digest",
booktitle = "2012 IEEE MTT-S International Microwave Symposium Digest (MTT)",

}

RIS

TY - GEN

T1 - Space Mapping and Beyond: Knowledge-Driven Microwave Design Optimization

A1 - Koziel,Slawomir

A1 - Madsen,Kaj

AU - Koziel,Slawomir

AU - Madsen,Kaj

PB - IEEE

PY - 2012

Y1 - 2012

N2 - Design closure exploiting electromagnetic (EM) solvers has become one of the fundamental design tools in contemporary microwave engineering. For many structures, adjustment of geometry and/or material parameters can only be done through repetitive EM simulations because analytical design formulas either do not exist or can only provide initial designs that need to be further refined. Unfortunately, EM-driven optimization is a challenging problem with the major bottleneck being a high computational cost of accurate simulation. This problem can be alleviated by using fast and yet reliable surrogate models that can replace the CPU-intensive EM-simulated structure of interest in the search for optimum design. The surrogate models exploiting physically-based low-fidelity models (e.g., circuit equivalents) can be particularly efficient: the knowledge about the structure under design embedded in such a low-fidelity model allows us to dramatically reduce the number of EM simulations necessary to find a satisfactory design. Here, we review the concept of knowledge-driven design as well as specific design techniques, including space mapping, simulation-based tuning, and various response correction methods. Discussion on open problems and perspectives of these methodologies is also included.

AB - Design closure exploiting electromagnetic (EM) solvers has become one of the fundamental design tools in contemporary microwave engineering. For many structures, adjustment of geometry and/or material parameters can only be done through repetitive EM simulations because analytical design formulas either do not exist or can only provide initial designs that need to be further refined. Unfortunately, EM-driven optimization is a challenging problem with the major bottleneck being a high computational cost of accurate simulation. This problem can be alleviated by using fast and yet reliable surrogate models that can replace the CPU-intensive EM-simulated structure of interest in the search for optimum design. The surrogate models exploiting physically-based low-fidelity models (e.g., circuit equivalents) can be particularly efficient: the knowledge about the structure under design embedded in such a low-fidelity model allows us to dramatically reduce the number of EM simulations necessary to find a satisfactory design. Here, we review the concept of knowledge-driven design as well as specific design techniques, including space mapping, simulation-based tuning, and various response correction methods. Discussion on open problems and perspectives of these methodologies is also included.

KW - Computer-aided design (CAD)

KW - knowledge-driven design

KW - Space Mapping

KW - Simulation-based tuning

KW - Surrogate modeling

U2 - 10.1109/MWSYM.2012.6257773

DO - 10.1109/MWSYM.2012.6257773

SN - 978-1-4673-1088-8

SN - 978-1-4673-1085-7

BT - 2012 IEEE MTT-S International Microwave Symposium Digest (MTT)

T2 - 2012 IEEE MTT-S International Microwave Symposium Digest (MTT)

T3 - I E E E - M T T S International Microwave Symposium. Digest

T3 - en_GB

ER -