The Characterization of a Ridged Half-Mode Substrate-Integrated Waveguide and Its Application in Coupler Design
Bibliographic record
Abstract
The miniaturization of microwave and millimeter-wave components is necessary to meet demand for increasingly smaller integrated circuits. This paper explores the technique of capacitively loading the open side of a half-mode substrate-integrated waveguide (HMSIW) with a continuous ridge in order to lower the first-mode cutoff frequency and allow for substantial miniaturization. The full analytical calculation for the design of the first-mode cutoff frequency is presented, along with the extraction of the complex propagation constant and the analysis of the tradeoff between radiation and conductor losses. A comparison between the performance of the ridged HMSIW (RHMSIW) and HMSIW is simulated and measured, where the insertion loss of the RHMSIW is shown to be lower for frequencies up to 1.45 times the cutoff frequency fc, with a total width approximately 0.45 times the width of the HMSIW. The near-field radiation pattern is also measured, clearly illustrating the reduced radiation loss of the RHMSIW. A 3-dB coupler using the RHMSIW technology is designed, fabricated, and measured. The RHMSIW coupler's performance is shown to be comparable to similar HMSIW and SIW designs in the literature, but with substantially improved miniaturization. The isolation of two parallel RHMSIWs in different configurations is also studied and compared with the HMSIW for use in applications requiring high-density routing or interconnection. It is shown that the capacitive ridge helps to reduce the crosstalk between neighboring transmission lines, allowing for the possibility of greater circuit densities, and further improving the miniaturization of microwave systems using the RHMSIW technology. To the best of our knowledge, the RHMSIW is the smallest waveguide-based transmission line with respect to wavelength presently in the literature.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".