Broadband directional Moreno coupler for high-performance air-filled SIW-based Substrate Integrated Systems
Bibliographic record
Abstract
A broadband directional Moreno coupler consisting of a high performance Air-Filled Substrate Integrated Waveguide (AFSIW) coupled to a top Dielectric-Filled Substrate Integrated Waveguide (DFSIW) is introduced. It is intended for high performance and low-cost millimeter-wave substrate integrated systems based on multilayer Printed Circuit Board (PCB) process. The bottom layer may make use of an extremely low-cost standard substrate such as FR-4 on which base-band or digital circuits can be implemented so to obtain a self-packaged and compact millimeter-wave integrated system. Design of the proposed Moreno coupler is detailed. To the authors' knowledge, it is the first time that a Moreno coupler based on different dielectric-loaded waveguides is reported. It is also the first proposed AFSIW device taking advantage of a multilayer structure and the first AFSIW directional coupler reported in the literature. For demonstration purposes, a broadband 20 dB coupler operating over Ka-band has been designed and fabricated. It achieves a measured insertion loss, coupling and isolation of 0.6 ±0.2 dB, 18.7 ±1.3 dB and 44.7 ±13.7 dB, respectively. This coupler is of particular interest for monitoring applications, for example, in radar transmitters.
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".