Millimeter-wave slow-wave Si-benzocyclobutene transmission line: modeling and a coupler application

Li Yun Shi; Tao Tao Li; Yu Chen; Liang Zhou; Jian Jun Gao

doi:10.1002/mop.32179

Millimeter-wave slow-wave Si-benzocyclobutene transmission line: modeling and a coupler application

Li Yun Shi^*
, Tao Tao Li
, Yu Chen
, Liang Zhou
, Jian Jun Gao

^*Corresponding author for this work

School of Physics and Electronic Science

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

3 Scopus citations

Abstract

A millimeter-wave slow-wave transmission line (T-line) implemented with Si-benzocyclobutene (Si-BCB) technology is modeled in this paper. An artificial neural network (ANN) is applied to map the numerical relationship between the geometric parameters of the slow-wave T-line and its S-parameters. The Levenberg–Marquardt algorithm and Gradient Descent Back-Propagation optimization method are used during ANN training process. A 30-GHz coupler based on the proposed slow-wave structure is fabricated and measured. The ANN results, electromagnetic (EM)-simulated results, and measured results are consistent with one another.

Original language	English
Pages (from-to)	1188-1194
Number of pages	7
Journal	Microwave and Optical Technology Letters
Volume	62
Issue number	3
DOIs	https://doi.org/10.1002/mop.32179
State	Published - 1 Mar 2020

Keywords

Si-BCB
artificial neural network
slow-wave
transmission line

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10.1002/mop.32179

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title = "Millimeter-wave slow-wave Si-benzocyclobutene transmission line: modeling and a coupler application",

abstract = "A millimeter-wave slow-wave transmission line (T-line) implemented with Si-benzocyclobutene (Si-BCB) technology is modeled in this paper. An artificial neural network (ANN) is applied to map the numerical relationship between the geometric parameters of the slow-wave T-line and its S-parameters. The Levenberg–Marquardt algorithm and Gradient Descent Back-Propagation optimization method are used during ANN training process. A 30-GHz coupler based on the proposed slow-wave structure is fabricated and measured. The ANN results, electromagnetic (EM)-simulated results, and measured results are consistent with one another.",

keywords = "Si-BCB, artificial neural network, slow-wave, transmission line",

author = "Shi, \{Li Yun\} and Li, \{Tao Tao\} and Yu Chen and Liang Zhou and Gao, \{Jian Jun\}",

note = "Publisher Copyright: {\textcopyright} 2019 Wiley Periodicals, Inc.",

year = "2020",

month = mar,

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doi = "10.1002/mop.32179",

language = "英语",

volume = "62",

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journal = "Microwave and Optical Technology Letters",

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publisher = "John Wiley \& Sons Inc.",

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TY - JOUR

T1 - Millimeter-wave slow-wave Si-benzocyclobutene transmission line

T2 - modeling and a coupler application

AU - Shi, Li Yun

AU - Li, Tao Tao

AU - Chen, Yu

AU - Zhou, Liang

AU - Gao, Jian Jun

PY - 2020/3/1

Y1 - 2020/3/1

N2 - A millimeter-wave slow-wave transmission line (T-line) implemented with Si-benzocyclobutene (Si-BCB) technology is modeled in this paper. An artificial neural network (ANN) is applied to map the numerical relationship between the geometric parameters of the slow-wave T-line and its S-parameters. The Levenberg–Marquardt algorithm and Gradient Descent Back-Propagation optimization method are used during ANN training process. A 30-GHz coupler based on the proposed slow-wave structure is fabricated and measured. The ANN results, electromagnetic (EM)-simulated results, and measured results are consistent with one another.

AB - A millimeter-wave slow-wave transmission line (T-line) implemented with Si-benzocyclobutene (Si-BCB) technology is modeled in this paper. An artificial neural network (ANN) is applied to map the numerical relationship between the geometric parameters of the slow-wave T-line and its S-parameters. The Levenberg–Marquardt algorithm and Gradient Descent Back-Propagation optimization method are used during ANN training process. A 30-GHz coupler based on the proposed slow-wave structure is fabricated and measured. The ANN results, electromagnetic (EM)-simulated results, and measured results are consistent with one another.

KW - Si-BCB

KW - artificial neural network

KW - slow-wave

KW - transmission line

UR - https://www.scopus.com/pages/publications/85076188966

U2 - 10.1002/mop.32179

DO - 10.1002/mop.32179

M3 - 文章

AN - SCOPUS:85076188966

SN - 0895-2477

VL - 62

SP - 1188

EP - 1194

JO - Microwave and Optical Technology Letters

JF - Microwave and Optical Technology Letters

IS - 3

ER -

Millimeter-wave slow-wave Si-benzocyclobutene transmission line: modeling and a coupler application

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Keywords

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