Broadband H-Plane Horn Antenna Design Based on Ridge Gap Waveguide
Bibliographic record
Abstract
A broadband H-plane horn antenna with suppressed back lobes is designed based on the ridge gap waveguide (RGW). A broader bandgap is achieved by introducing two cascaded bandgap structures based on which the RGW H-plane horn is designed. Moreover, a broadband soft surface is designed at the exterior horn walls to prevent undesired radiation and to increase the front-to-back ratio (FBR). A transmission line model is also presented to better explain the soft surface operation. The antenna is fed through a double-ridge waveguide (DRW), and to have a broadband transmission between the two structures, a DRW-to-RGW transition is designed. Furthermore, a coaxial impedance transition is designed to ensure safe power transmission between the coaxial line and the DRW. The antenna is fabricated, and a good agreement between the simulation and measured results is observed. This work achieves a significantly broader bandwidth of 120%. In addition, a wideband corrugated surface has been designed to improve the antenna’s FBR. Measured results show that the FBR ratio is better than 20 dB, indicating the excellent performance of the added corrugations, and a gain of 11.3–14.2 dBi is achieved.
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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 | 0.001 | 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".