Low-Cost AiP Array Design Using Machine Learning for mmWave Mobile Systems

被引:0
作者
Nakmouche, Mohammed Farouk [1 ]
Magray, M. Idrees [2 ]
Allam, A. M. M. A. [3 ]
Fawzy, Diaa E. [1 ]
Lin, Ding Bing [4 ]
Tarng, Jenn-Hwan [2 ]
机构
[1] Izmir Univ Econ, Fac Engn, Izmir, Turkey
[2] Natl Chiao Tung Univ, Ctr MmWave Smart Radar Syst & Technol, Hsinchu, Taiwan
[3] German Univ Cairo, Dept Commun Engn, Cairo, Egypt
[4] Natl Taiwan Univ Sci & Technol, Dept Elect & Comp Engn, Taipei, Taiwan
来源
2021 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP) | 2021年
关键词
mmWave; Antenna in Packaging (AiP); ANN; machine learning; PACKAGE; ANTENNA;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Based on low-cost PCB solution, an array antenna in packaging (AiP) dedicated for mmWave mobile systems is designed using machine learning. The proposed antenna operates at 28 GHz (26.5 - 29.5 GHz) with a gain ranging from 8 dB to 15 dB in the operating bandwidth. The development process of the proposed AiP is assisted by machine learning for prediction of the optimal radiating patch's length and width in terms of resonance frequency.
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页数:2
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