A Partially Reflecting Surface Antenna With a Non-Resonant Cavity and a Phase-Correcting Surface for Gain Enhancement
Bibliographic record
Abstract
Partially reflecting surface (PRS) resonant antennas have attracted significant attention for the past two decades. However, how to improve their peak gain is still a challenge. This article proposes a nonresonant PRS antenna that does not require the conventional resonant condition that limits design flexibility and peak gain. It consists of a PRS, a ground, a small feed, and a transparent phase-correcting surface (PCS) placed above the PRS for phase compensation. The ray-tracing method is used to analyze the proposed nonresonant PRS antenna, and numerical simulations are conducted to verify its effectiveness. Our theoretical and numerical results show that the gain of a PRS antenna with a nonresonant cavity reaches its peak when the cavity height is between$0.6\lambda $and$0.9\lambda $. Three prototypes are fabricated and tested, and the measured results show that peak gains of over 25 dBi and 3 dB gain bandwidths of more than 10% can be achieved at the same time.
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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) | 0.001 | 0.001 |
| 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) | 0.001 | 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".