Abstract
This paper proposes a novel reflective meta-surface inverse design by utilizing a back propagation neural network. A reflective meta-surface, measuring 0.92 m in width, 0.92 m in height, and 0.508 cm in thickness, is synthesized. This metasurface is composed of twelve distinct unit types, each possessing unique phase-shifting characteristics. When illuminated by a multi-mode waveguide horn employing the offset design, the meta-surface demonstrates a gain of 31.65 dB at a frequency of 5.8 GHz. Furthermore, the simulated design achieves a side lobe level of 23 dB in the far-field region, accompanied by a system efficiency of 36% and a relative 3-dB bandwidth of 7%. By incorporating more training data and enhancing the machine learning algorithms, this design methodology could be applied to generate complex meta-surface structures with multi-frequencies and multi-polarization responses, demonstrating significant potential in multi-functional meta-surface integration.
Originalsprog | Engelsk |
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Titel | 18th European Conference on Antennas and Propagation, EuCAP 2024 |
Antal sider | 5 |
Forlag | IEEE (Institute of Electrical and Electronics Engineers) |
Publikationsdato | 26 apr. 2024 |
Artikelnummer | 10501758 |
ISBN (Trykt) | 979-8-3503-9443-6 |
ISBN (Elektronisk) | 978-88-31299-09-1 |
DOI | |
Status | Udgivet - 26 apr. 2024 |
Begivenhed | 18th European Conference on Antennas and Propagation, EuCAP 2024 - Glasgow, Storbritannien Varighed: 17 mar. 2024 → 22 mar. 2024 |
Konference
Konference | 18th European Conference on Antennas and Propagation, EuCAP 2024 |
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Land/Område | Storbritannien |
By | Glasgow |
Periode | 17/03/2024 → 22/03/2024 |
Sponsor | ANSYS, CADFEM, Dassault Systemes, et al., Huawei Technologies Co., Ltd., Microwave Vision Group |