基于3D打印金属脊隙波导的立方体卫星子阵列MIMO天线的机器学习辅助设计

2022 IEEE Future Networks World Forum (FNWF) Pub Date : 2022-10-01 DOI:10.1109/FNWF55208.2022.00080

Mohammed Farouk Nakmouche, D. Deslandes, G. Gagnon

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引用次数: 1

摘要

本文提出了一种基于机器学习的3D打印金属脊隙波导阵列MIMO天线的设计方法，用于立方体卫星间通信。所设计的天线总尺寸为$\boldsymbol{15.5 \ × 10.5 \ × 5.78} \mathbf{mm}^3$，基于铝合金粉末(AlSi10Mg)，电导率为$\boldsymbol{2.04\ × 10^{7}}\ \mathbf{S}/\mathbf{m}$。该天线工作在v波段(59.3-66.6 GHz)，稳定实现增益10.5 dBi，在工作频率上的辐射效率为90%。

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Machine Learning Aided Design of Sub-Array MIMO Antennas for CubeSats Based on 3D Printed Metallic Ridge Gap Waveguides

In this paper, a machine learning-assisted approach is presented for the design of a 3D Printed Metallic Ridge Gap Waveguide-Based array MIMO antenna for inter-cube satellite (CubeSat) communication. The designed antenna has a total dimension of $\boldsymbol{15.5 \times 10.5 \times 5.78} \mathbf{mm}^3$ and is based on aluminum alloy powder (AlSi10Mg) with a conductivity of $\boldsymbol{2.04\times 10^{7}}\ \mathbf{S}/\mathbf{m}$. The antenna exhibits wideband operation in V-band (59.3-66.6 GHz) with a stable realized gain of 10.5 dBi and radiation efficiency of 90% over the operating frequency.

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2022 IEEE Future Networks World Forum (FNWF)

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