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A Robust Technique without Additional Computational Cost in Evolutionary Antenna Optimization

Hu, Caie, Zeng, Sanyou, Jiang, Yuhong, Sun, Jianqing, Sun, Yongzhi, Gao, Steven (2019) A Robust Technique without Additional Computational Cost in Evolutionary Antenna Optimization. IEEE Transactions on Antennas and Propagation, 67 (4). pp. 2252-2259. ISSN 0018-926X. E-ISSN 1558-2221. (doi:10.1109/TAP.2019.2891661) (KAR id:72214)

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https://dx.doi.org/10.1109/TAP.2019.2891661

Abstract

A robustness-enhancing technique without additional computational cost in antenna optimization design is presented. The robustness is implemented by minimizing the variances of the gains, axial ratios and VSWRs over the required frequency band. It is demonstrated that the new technique has two obvious advantages. One is that it can ensure the antenna robustness without the extra computational overhead. The other one is that it is possible to broaden the bandwidth of the antenna. We apply this technique to design a microstrip antenna at 2.4GHz. Experimental results show that, by adopting this new technique, the evolved antenna is more robust than by using two other techniques.

Item Type: Article
DOI/Identification number: 10.1109/TAP.2019.2891661
Uncontrolled keywords: evolutionary algorithms, antenna design, robust optimization, constrained optimization
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Steven Gao
Date Deposited: 06 Feb 2019 16:59 UTC
Last Modified: 16 Feb 2021 14:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/72214 (The current URI for this page, for reference purposes)
Gao, Steven: https://orcid.org/0000-0002-7402-9223
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