A Wideband Low-RCS Metasurface-Inspired Circularly Polarized Slot Array Based on AI-Driven Antenna Design Optimization Algorithm
Zheng, Qi (2022) A Wideband Low-RCS Metasurface-Inspired Circularly Polarized Slot Array Based on AI-Driven Antenna Design Optimization Algorithm. IEEE Transactions on Antennas and Propagation, 70 (9). pp. 8584-8589. ISSN 1558-2221
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Abstract
A metasurface (MS)-inspired low-profile circularly polarized (CP) slot array with a wide CP band and broadband low radar cross section (RCS) is proposed in this communication. The slot array consists of four element antennas, four grounded substrates, and a sequential-rotated feeding network. In terms of radiation performance, the array yields a wide CP band resulting from the CP element antenna and the sequential-rotated feeding network. The CP element antenna is achieved due to the polarization conversion property of the MS-based superstrate. The feeding network with multiple related design parameters is optimized by an artificial intelligence (AI)-driven antenna design method to find the widest bandwidth. In terms of scattering performance, broadband RCS reduction is achieved by using a hybrid RCS reduction technique that combines two destructive interference principles. The |S11|<−10 dB bandwidth reaches 53.2%, the AR < 3 dB bandwidth reaches 50%, and the RCS reduction bandwidth reaches 147.8% for a low-profile structure with a relatively low number of MS unit cells. A prototype was fabricated and measured. The measured and simulated results are in good agreement.
| Item Type: | Article |
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| Keywords: | Metasurface (MS), circular polarization, radar cross section (RCS), antenna array, parallel surrogate model-assisted hybrid differential evolution for antenna optimization (PSADEA). |
| Divisions: | Applied Science, Computing and Engineering |
| Depositing User: | Hayley Dennis |
| Date Deposited: | 13 Nov 2024 12:01 |
| Last Modified: | 13 Nov 2024 12:01 |
| URI: | https://wrexham.repository.guildhe.ac.uk/id/eprint/18241 |
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