摘要
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.
| 源语言 | 英语 |
|---|---|
| 页(从-至) | 1188-1194 |
| 页数 | 7 |
| 期刊 | Microwave and Optical Technology Letters |
| 卷 | 62 |
| 期 | 3 |
| DOI | |
| 出版状态 | 已出版 - 1 3月 2020 |
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