Machine Learning Aided Design of Sub-Array MIMO Antennas for CubeSats Based on 3D Printed Metallic Ridge Gap Waveguides-Reference-Cited by-同舟云学术

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

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Future Networks World Forum (FNWF)
language:
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Author:

Nakmouche Mohammed Farouk¹,Deslandes Dominic¹,Gagnon Ghyslain¹

Affiliation:

1. Ecole de technologie supeérieure,Electrical Engineering Department,Montreal,Quebec,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10056380/10056381/10056745.pdf?arnumber=10056745

Reference17 articles.

1. Synthesis of multi‐polarised upside conical frustum array antenna for 5G mm‐Wave base station at 28/38 GHz

2. Antenna Design Using Modern Additive Manufacturing Technology: A Review

3. Method for Loran-C Additional Secondary Factor Correction Based on Neural Network and Transfer Learning

4. Artificial Neural Network Optimal Modeling and Optimization of UAV Measurements for Mobile Communications Using the L-SHADE Algorithm

5. Ridge gap waveguide antenna array with improved mutual isolation for millimeter wave applications

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Design Approach of 3D Printed Pixelated Lens MIMO Antenna for CubeSat;2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI);2023-07-23

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