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

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...

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Bibliographic Details
Published inMicrowave and optical technology letters Vol. 62; no. 3; pp. 1188 - 1194
Main Authors Shi, Li‐Yun, Li, Tao‐Tao, Chen, Yu, Zhou, Liang, Gao, Jian‐Jun
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.03.2020
Wiley Subscription Services, Inc
Subjects
Algorithms
artificial neural network
Artificial neural networks
Computer simulation
Couplers
Mathematical models
Optimization
Parameters
Si‐BCB
slow‐wave
transmission line
Transmission lines
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Summary: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.
Bibliography:Funding information
National Natural Science Foundation of China, Grant/Award Number: 61822112
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0895-2477
1098-2760
DOI:10.1002/mop.32179