A Uniplanar Dual-Band Antenna Array Feed Network Employing MTM-EBG Filtering Crossovers
Bibliographic record
Abstract
The metamaterial-based electromagnetic bandgap (MTM-EBG) structure is a fully planar, periodically loaded multiconductor transmission line (MTL) structure (S. Barth et al., “A Miniaturized Uniplanar Metamaterial Based EBG for Parallel-Plate Mode Suppression,” IEEE Transactions on Microwave Theory and Techniques, Vol. 64, No. 4, 1176-1185, April 2016). The size and location of the bandgap can be easily controlled by varying the reactive loading and/or host-MTL properties of the MTM-EBG unit cells. The MTM-EBG has been extended to two dimensions in order to model the uniplanar compact EBG (UC-EBG) (S. Barth et al., “The MTM-EBG as a Rigorous Multiconductor Model of the UC-EBG and Approaches for Miniaturization,” IEEE Transactions on Antennas and Propagation, Vol. 70, No. 4, 2822-2831, April 2022). Similar to the 1D MTM-EBG, the 2D MTM-EBG exhibits a bandgap at certain frequencies but unlike the 1D MTM-EBG, it can possess different bandgaps for the two planar directions of propagation ($x$and$y$), as determined by the reactive loading and/or host MTL properties of the unit cells. This property has been exploited to create a frequency-dependent microstrip crossover (S. Clark et al., “Fully Embedded Microstrip Filtering Crossover Using 2D MTM-EBGs,” 2024 IEEE INC-USNC-URSI Radio Science Meeting). In particular, at a frequency$f_{1}$, propagation is allowed on the$x$-directed microstrip line while isolated from the$y$-directed line. At a different frequency$f_{2}$, propagation is allowed on the$y$-directed microstrip line while isolated form the$x$-directed line.
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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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".