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.

引用

页数：2

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