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