Mode-Matching Design of Substrate Mounted Waveguide (SMW) Components
Bibliographic record
Abstract
The mode-matching technique (MMT) is employed to analyze and design the transition from substrate integrated waveguides (SIWs) to substrate mounted waveguides (SMWs) that are mounted on top and/or at the bottom of the substrate. Coupling between the layers is facilitated by apertures of the thickness of the substrate's metallization. By appropriately segmenting the transition, a simple and fast MMT routine is developed. The results obtained for a single waveguide resonator mounted on the substrate agree well with simulations in CST and HFSS and, thus, validate the MMT code. Furthermore, the routine is extended to accommodate the design of more complex structures. A five-resonator SMW filter with additional SIW resonators to add transmission zeros and a diplexer are presented and prototyped. All the measured results are in good agreement with the MMT and the CST simulation results, thus validating the design procedure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".