Efficient AI-Driven Design of Microwave Antennas Using PSADEA

Mobayode O. Akinsolu, Isah M. Danjuma, Keyur K. Mistry, Bo Liu, Raed A. Abd-Alhameed, Pavlos I. Lazaridis, Zaharias D. Zaharis, Peter Excell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, artificial intelligence plays a very significant role in the optimal design of microwave devices such as antennas. In particular, antenna design automation via surrogate model-based optimization (SMBO) methods is attracting a lot of interest due to the efficiency improvement in terms of computational cost. The parallel surrogate model-assisted hybrid differential evolution for antenna optimisation (PSADEA) method is a state-of-the-art SMBO method. In this paper, PSADEA is used to synthesize a compact slotted monopole antenna for ultra wide band body-centric applications. The performance of PSADEA is compared with 2019 Computer Simulation Technology - Microwave Studio (CST-MWS) optimizers: trust region framework (TRF) and particle swarm optimisation (PSO). Results from the comparisons show that PSADEA obtains very satisfactory design solutions for the monopole antenna in all runs using an affordable optimization time in each, whereas the alternative optimizers fail to obtain a satisfactory design solution in all runs. A close agreement between the simulated and measured results for the fabricated prototype of a typical PSADEA synthesized design for the monopole antenna validates the design solution quality of PSADEA.

Original languageEnglish
Title of host publication2019 2nd IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728136875
ISBN (Print)9781728136882
DOIs
Publication statusPublished - 1 Nov 2019
Event2nd IEEE Middle East and North Africa COMMunications Conference - Manama, Bahrain
Duration: 19 Nov 201921 Nov 2019
Conference number: 2
https://menacomm2019.org/

Conference

Conference2nd IEEE Middle East and North Africa COMMunications Conference
Abbreviated titleMENACOMM 2019
CountryBahrain
CityManama
Period19/11/1921/11/19
Internet address

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  • Cite this

    Akinsolu, M. O., Danjuma, I. M., Mistry, K. K., Liu, B., Abd-Alhameed, R. A., Lazaridis, P. I., Zaharis, Z. D., & Excell, P. (2019). Efficient AI-Driven Design of Microwave Antennas Using PSADEA. In 2019 2nd IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2019 [8988550] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MENACOMM46666.2019.8988550