TY - GEN
T1 - Inverse-Designed Metasurface-Loaded Antennas Enabled by Efficient Modal Expansion Methods and Global Optimization Algorithms
AU - Bie, Mengyuan
AU - Peng, Manxin
AU - Jiang, Zhi Hao
AU - Yi, Jianjia
AU - Werner, Pingjuan L.
AU - Werner, Douglas H.
N1 - Publisher Copyright:
© 2023 International Union of Radio Science.
PY - 2023
Y1 - 2023
N2 - In this paper, an effective inverse-design approach is applied to metasurface-loaded antennas that is based on using efficient modal expansion methods (MEM) and robust optimization algorithms. Two types of antennas are considered - suspended patch antennas and a short backfire antenna (SBFA) loaded with metasurfaces. Both antenna designs are analyzed, optimized, fabricated, and validated experimentally. The measured results show that the suspended patch antenna realizes two operational bands covering 1.62 - 2.73 GHz and 4.52 - 6.52 GHz. A tunable version of the antenna is enabled by integrating varactors in the metasurface. For the SBFA, an enhanced aperture efficiency is accomplished with higher than 83% within a 35.3% bandwidth. For both examples, the MEM is demonstrated to be a highly efficiency method for analysis, which can accelerate the design process when it is coupled with optimization algorithms.
AB - In this paper, an effective inverse-design approach is applied to metasurface-loaded antennas that is based on using efficient modal expansion methods (MEM) and robust optimization algorithms. Two types of antennas are considered - suspended patch antennas and a short backfire antenna (SBFA) loaded with metasurfaces. Both antenna designs are analyzed, optimized, fabricated, and validated experimentally. The measured results show that the suspended patch antenna realizes two operational bands covering 1.62 - 2.73 GHz and 4.52 - 6.52 GHz. A tunable version of the antenna is enabled by integrating varactors in the metasurface. For the SBFA, an enhanced aperture efficiency is accomplished with higher than 83% within a 35.3% bandwidth. For both examples, the MEM is demonstrated to be a highly efficiency method for analysis, which can accelerate the design process when it is coupled with optimization algorithms.
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U2 - 10.23919/URSIGASS57860.2023.10265656
DO - 10.23919/URSIGASS57860.2023.10265656
M3 - Conference contribution
AN - SCOPUS:85175166910
T3 - 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
BT - 2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
Y2 - 19 August 2023 through 26 August 2023
ER -