Surrogate-Assisted Defected Ground Structure Design for Reducing Mutual Coupling in 2 × 2 Microstrip Antenna Array

Bingyi Qian; Xiaoyu Huang; Xiaoming Chen; Muhammad Abdullah; Luyu Zhao; Ahmed Kishk

doi:10.1109/LAWP.2021.3131600

Surrogate-Assisted Defected Ground Structure Design for Reducing Mutual Coupling in 2 × 2 Microstrip Antenna Array

Bingyi Qian
, Xiaoyu Huang
, Xiaoming Chen
, Muhammad Abdullah
, Luyu Zhao
, Ahmed Kishk

Faculty of Electronic and Information Engineering

Research output: Contribution to journal › Article › peer-review

70 Scopus citations

Abstract

A surrogate-assisted defected ground structure (DGS) design is proposed to suppress E- and H-plane couplings simultaneously in a 2 × 2 microstrip antenna array at 2.45 GHz. The DGS is designed and analyzed based on the magnetic current and mode theory. Machine learning is employed to sweep the DGS parameters within defined limits and fine-tune them to obtain optimal design, predominantly shortening the DGS design time. A 2 × 2 microstrip antennas array is used as a test case to corroborate the efficacy of the proposed scheme. Simulation and measurement results show that the proposed DGS can significantly reduce E- and H-plane couplings.

Original language	English
Pages (from-to)	351-355
Number of pages	5
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	21
Issue number	2
DOIs	https://doi.org/10.1109/LAWP.2021.3131600
State	Published - 1 Feb 2022

Keywords

Antenna array
common/differential mode (CM/DM)
decoupling
defected ground structure (DGS)
machine learning (ML)

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10.1109/LAWP.2021.3131600

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title = "Surrogate-Assisted Defected Ground Structure Design for Reducing Mutual Coupling in 2 × 2 Microstrip Antenna Array",

abstract = "A surrogate-assisted defected ground structure (DGS) design is proposed to suppress E- and H-plane couplings simultaneously in a 2 × 2 microstrip antenna array at 2.45 GHz. The DGS is designed and analyzed based on the magnetic current and mode theory. Machine learning is employed to sweep the DGS parameters within defined limits and fine-tune them to obtain optimal design, predominantly shortening the DGS design time. A 2 × 2 microstrip antennas array is used as a test case to corroborate the efficacy of the proposed scheme. Simulation and measurement results show that the proposed DGS can significantly reduce E- and H-plane couplings.",

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T1 - Surrogate-Assisted Defected Ground Structure Design for Reducing Mutual Coupling in 2 × 2 Microstrip Antenna Array

AU - Qian, Bingyi

AU - Huang, Xiaoyu

AU - Chen, Xiaoming

AU - Abdullah, Muhammad

AU - Zhao, Luyu

AU - Kishk, Ahmed

PY - 2022/2/1

Y1 - 2022/2/1

N2 - A surrogate-assisted defected ground structure (DGS) design is proposed to suppress E- and H-plane couplings simultaneously in a 2 × 2 microstrip antenna array at 2.45 GHz. The DGS is designed and analyzed based on the magnetic current and mode theory. Machine learning is employed to sweep the DGS parameters within defined limits and fine-tune them to obtain optimal design, predominantly shortening the DGS design time. A 2 × 2 microstrip antennas array is used as a test case to corroborate the efficacy of the proposed scheme. Simulation and measurement results show that the proposed DGS can significantly reduce E- and H-plane couplings.

AB - A surrogate-assisted defected ground structure (DGS) design is proposed to suppress E- and H-plane couplings simultaneously in a 2 × 2 microstrip antenna array at 2.45 GHz. The DGS is designed and analyzed based on the magnetic current and mode theory. Machine learning is employed to sweep the DGS parameters within defined limits and fine-tune them to obtain optimal design, predominantly shortening the DGS design time. A 2 × 2 microstrip antennas array is used as a test case to corroborate the efficacy of the proposed scheme. Simulation and measurement results show that the proposed DGS can significantly reduce E- and H-plane couplings.

KW - Antenna array

KW - common/differential mode (CM/DM)

KW - decoupling

KW - defected ground structure (DGS)

KW - machine learning (ML)

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JF - IEEE Antennas and Wireless Propagation Letters

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ER -

Surrogate-Assisted Defected Ground Structure Design for Reducing Mutual Coupling in 2 × 2 Microstrip Antenna Array

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