High Gain High Dense Dielectric Patch Antenna Using FSS Superstrate for Millimeter-Wave Applications
Bibliographic record
Abstract
High gain low profile linearly polarized square dense dielectric (DD) patch antenna using a frequency selective surface (FSS) superstrate layer is proposed. The implemented antenna is designed, and excited by aperture coupled feeding technique. The DD patch is used as a radiated element. An array of frequency selective surface FSS is used to enhance the gain of the antenna. The antenna gain is enhanced by 10 dBi. The implemented antenna obtained a gain of about 17.78 dBi at 28 GHz with radiation efficiency of 90 %. Furthermore, it has a bandwidth of about 9 %. It has a good radiation performance. For some attractive advantages such as low profile, low cost, light weight, small size, and ease of implementation, the proposed antenna is a good candidate for millimeter wave wireless communications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".