Performance‐driven modeling of compact couplers in restricted domains - Publication - Bridge of Knowledge

Search

Performance‐driven modeling of compact couplers in restricted domains

Abstract

Fast surrogate models can play an important role in reducing the cost of EM-driven design closure of miniaturized microwave components. Unfortunately, construction of such models is challenging due to curse of dimensionality and wide range of geometry parameters that need to be included in order to make it practically useful. In this letter, a novel approach to design-oriented modeling of compact couplers is presented. Our method allows for building surrogates that cover wide range of operating conditions and/or material parameters, which makes them useful for design purposes. At the same time, careful definition of the model domain permits dramatic (volume-wise) reduction of the of the design space region that needs to be sampled, thus, keeping the number of training data samples at acceptable levels. The proposed technique is demonstrated using a compact rat-race coupler modeled for operating frequencies from 1 GHz to 2 GHz and power split of –6 dB to 0 dB. Benchmarking and application examples for coupler design optimization as well as experimental validation are also provided.

Citations

  • 1 5

    CrossRef

  • 0

    Web of Science

  • 1 6

    Scopus

Authors (2)

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING no. 28, edition 6, pages 1 - 7,
ISSN: 1096-4290
Language:
English
Publication year:
2018
Bibliographic description:
Kozieł S., Sigurdsson A.: Performance‐driven modeling of compact couplers in restricted domains// INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING. -Vol. 28, iss. 6 (2018), s.1-7
DOI:
Digital Object Identifier (open in new tab) 10.1002/mmce.21296
Verified by:
Gdańsk University of Technology

seen 74 times

Recommended for you

Meta Tags