Bandwidth enhancement of dual‐layer patch antenna using low mutual‐coupling near‐field resonant parasiticl elements
Bibliographic record
Abstract
ABSTRACT A pair of face‐to‐face semicircular split‐ring resonators (SSRRs) was utilized to improve the impedance bandwidth of a planar patch antenna. By loading the SSRRs on the superstrate layer, their fundamental resonant modes could be capacitively induced by the radiation patch of the antenna underneath them, respectively. Benefitting from the ultra‐low mutual coupling level between the SSRRs even though their resonant modes are very close to each other, their resonant frequency ranges could be merged with the resonant frequency range from the fundamental mode of the radiation patch to produce a wide fractional impedance bandwidth as high as 4.2% (witnessing 5.16 times enhancement compared with that of a standard patch antenna), even with such a low profile (only 0.052λ0 height). Moreover, the experimental results, which are in good agreement with the simulation values, demonstrated its stable and excellent radiation characteristics, including strict broadside main beams with high polarization purity and large front‐to‐back ratios over the entire operational bandwidth. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:180–186, 2017
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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) | 0.001 | 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".