Design of Wideband Mushroom Antennas Using Single- and Multi-Objective Bayesian Optimization

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Design of Wideband Mushroom Antennas Using Single- and Multi-Objective Bayesian Optimization
Title:
Design of Wideband Mushroom Antennas Using Single- and Multi-Objective Bayesian Optimization
Other Titles:
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)
Keywords:
Publication Date:
21 September 2022
Citation:
Zeng, Y., Qing, X., & Chia, M. Y. W. (2022). Design of Wideband Mushroom Antennas Using Single- and Multi-Objective Bayesian Optimization. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI). https://doi.org/10.1109/ap-s/usnc-ursi47032.2022.9886843
Abstract:
Wideband non-uniform mushroom antennas are designed via three different formulations of Bayesian optimization, including a single-objective method, a multiobjective approach by aggregating two objectives into a weighted sum, and a genuine multi-objective method. The main design target is set as enlarging the impedance bandwidth in the singleobjective case. The two multi-objective approaches also include the realized gain as the design objective. A total of 36 design parameters are considered in all the three cases. It is found that the genuine multi-objective approach is able to obtain a mushroom antenna design that operates within the widely adopted n77 band of 5G with largest impedance bandwidth and smallest gain variation at boresight direction across the bandwidth with the least number of simulation runs
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the A*STAR - AME Young Individual Research Grants (YIRG)
Grant Reference no. : A2084c0173
Description:
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
1947-1491
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