Design Method of Dual-Band High-Temperature Streamlined Radomes Accelerated by Artificial Intelligence

Streamlined radomes of hypersonic vehicles require electromagnetic (EM) transparency, as well as thermomechanical resistance. Current design methods for high-temperature streamlined radomes are limited to single-frequency designs. This letter presents a design approach for streamlined radomes that achieve dual-band EM transparency within the 4–40GHz range, along with thermomechanical resistance. The design employs a nine-layer silicon nitride ceramic graded dielectric multilayered wall. The realistic non-uniform temperature boundary plays a crucial role, which provides a sufficiently large design space for optimizing EM performance. The designed radomes possess an average insertion loss (IL) of less than 1.00 dB along with a low boresight error (BSE). It is worth noting that the artificial intelligence algorithm accelerates the optimization process by 13 times, making the design more efficient.

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Publication Details

Journal
IEEE Antennas and Wireless Propagation Letters
Published
2025-05-23
DOI
https://doi.org/10.1109/lawp.2025.3573085
Citations
1
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
0.95

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Design Method of Dual-Band High-Temperature Streamlined Radomes Accelerated by Artificial Intelligence

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Design Method of Dual-Band High-Temperature Streamlined Radomes Accelerated by Artificial Intelligence

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article en
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Abstract

Streamlined radomes of hypersonic vehicles require electromagnetic (EM) transparency, as well as thermomechanical resistance. Current design methods for high-temperature streamlined radomes are limited to single-frequency designs. This letter presents a design approach for streamlined radomes that achieve dual-band EM transparency within the 4–40GHz range, along with thermomechanical resistance. The design employs a nine-layer silicon nitride ceramic graded dielectric multilayered wall. The realistic non-uniform temperature boundary plays a crucial role, which provides a sufficiently large design space for optimizing EM performance. The designed radomes possess an average insertion loss (IL) of less than 1.00 dB along with a low boresight error (BSE). It is worth noting that the artificial intelligence algorithm accelerates the optimization process by 13 times, making the design more efficient.

IEEE Antennas and Wireless Propagation LettersVol. 24(9)
South China University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 26%
Engineering Applied Research
0.95
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