Optimization-Driven Antenna Design Framework With Multiple Performance Constraints

Slawomir Koziel; Qingsha S. Cheng; Song Li

doi:10.1002/mmce.21208

Optimization-Driven Antenna Design Framework With Multiple Performance Constraints

Slawomir Koziel^*, Qingsha S. Cheng, Song Li

^*Corresponding author for this work

Department of Engineering

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

This work proposes an optimization-driven framework that allows for antenna design with multiple constraints and tradeoff investigation between various objectives. In particular, it allows for antenna size reduction while maintaining other figures of merit (in terms of both electrical and field properties). We demonstrate our framework with UWB antennas size reduction taking into account matching, gain, efficiency, and radiation pattern stability constraints. Furthermore, we compare design tradeoffs between the minimum attainable antenna size and its electrical and field properties using seven design scenarios. The best possible tradeoffs are obtained using rigorous numerical optimization of all geometry parameters of the structure at hand. Two examples of UWB monopole antennas are provided to illustrate that the qualitative performance tradeoffs are very much dependent on a particular antenna topology and material properties of the substrate. Numerical results are supported by experimental validation.

Original language	English
Article number	e21208
Journal	International Journal of RF and Microwave Computer-Aided Engineering
Volume	28
Issue number	4
DOIs	https://doi.org/10.1002/mmce.21208
Publication status	Published - May 2018

Bibliographical note

Funding Information:
The authors would like to thank Computer Simulation Technology AG, Darmstadt, Germany, for making CST Microwave Studio available. This work is partially supported by the Icelandic Centre for Research (RANNIS) Grant 163299051, by National Science Centre of Poland Grant 2014/15/B/ST7/04683, and by the National Natural Science Foundation of China Grant 61471258.

Funding Information:
Icelandic Centre for Research (RANNIS), Grant/Award Number: 163299051; National Science Centre of Poland, Grant/Award Number: 2014/15/B/ST7/ 04683; National Natural Science Foundation of China, Grant/Award Number: 61471258

Publisher Copyright:
© 2017 Wiley Periodicals, Inc.

Other keywords

antenna efficiency
compact antennas
constrained optimization
miniaturization
radiation pattern stability
simulation-driven design
ultrawideband antennas

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10.1002/mmce.21208

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abstract = "This work proposes an optimization-driven framework that allows for antenna design with multiple constraints and tradeoff investigation between various objectives. In particular, it allows for antenna size reduction while maintaining other figures of merit (in terms of both electrical and field properties). We demonstrate our framework with UWB antennas size reduction taking into account matching, gain, efficiency, and radiation pattern stability constraints. Furthermore, we compare design tradeoffs between the minimum attainable antenna size and its electrical and field properties using seven design scenarios. The best possible tradeoffs are obtained using rigorous numerical optimization of all geometry parameters of the structure at hand. Two examples of UWB monopole antennas are provided to illustrate that the qualitative performance tradeoffs are very much dependent on a particular antenna topology and material properties of the substrate. Numerical results are supported by experimental validation.",

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author = "Slawomir Koziel and Cheng, {Qingsha S.} and Song Li",

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AB - This work proposes an optimization-driven framework that allows for antenna design with multiple constraints and tradeoff investigation between various objectives. In particular, it allows for antenna size reduction while maintaining other figures of merit (in terms of both electrical and field properties). We demonstrate our framework with UWB antennas size reduction taking into account matching, gain, efficiency, and radiation pattern stability constraints. Furthermore, we compare design tradeoffs between the minimum attainable antenna size and its electrical and field properties using seven design scenarios. The best possible tradeoffs are obtained using rigorous numerical optimization of all geometry parameters of the structure at hand. Two examples of UWB monopole antennas are provided to illustrate that the qualitative performance tradeoffs are very much dependent on a particular antenna topology and material properties of the substrate. Numerical results are supported by experimental validation.

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KW - constrained optimization

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KW - radiation pattern stability

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Optimization-Driven Antenna Design Framework With Multiple Performance Constraints

Abstract

Bibliographical note

Other keywords

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