1. A Wideband Low-RCS Metasurface-Inspired Circularly Polarized Slot Array Based on AI-Driven Antenna Design Optimization Algorithm.
- Author
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Zheng, Qi, Guo, Chenjiang, Ding, Jun, Akinsolu, Mobayode O., Liu, Bo, and Vandenbosch, Guy A. E.
- Subjects
ANTENNA design ,SLOT antennas ,RADAR cross sections ,ANTENNAS (Electronics) ,ANTENNA feeds ,MATHEMATICAL optimization ,RADAR antennas ,WIRELESS LANs - 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 $\vert \text{S}_{11}\vert < -10$ 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. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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