Substrate integrated waveguide bandstop filter using partial‐height via‐hole resonators in thick substrate
Bibliographic record
Abstract
A substrate integrated waveguide (SIW) bandstop filter on thick substrate is introduced. The increased substrate height permits partial‐height via holes to act as resonators whose interaction provides a wide range of possible coupling coefficients that result in wideband bandstop filters. In contrast to ridged all‐metal waveguide filters, SIW filters with partial‐height via holes maintain a small profile, low manufacturing cost and they can be integrated with other planar circuitry such as microstrip or coplanar waveguide. The design method of the bandstop filter relies on the well‐known extracted‐pole technique which allows designers to independently control the locations of reflection zeros. The parameters of the lowpass equivalent circuit of the filter are extracted and used for the initial design of the physical dimensions of the filter. The software packages µWave Wizard and CST are used for filter simulation and optimisation. A prototype bandstop filter is designed for a centre frequency of 10.74 GHz and a bandwidth of 1.58 GHz. Tolerance analyses demonstrate the influence of manufacturing inaccuracies on the filter performance. Good agreement between simulated and measured results confirms the reliability and robustness of the design method and its applicability to SIW technology on thick substrate.
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".