Design of a high‐gain ultra‐wideband planar dipole antenna using LC tanks, chip resistors, and dual‐layer frequency selective surface
Bibliographic record
Abstract
Abstract In this article, a low‐profile, high‐gain, ultra‐wideband (UWB) planar dipole antenna is presented for radar imaging applications. The antenna is loaded with open complementary double concentric split‐hexagonal‐ring resonators (LC tank) and chip resistors, and backed with a novel double‐layer frequency selective surface reflector for gain enhancement. A broadband microstrip to parallel‐plate transformer is designed as the feeding structure of the antenna to provide impedance matching and balanced‐to‐unbalanced transition. The measurement results show the proposed antenna operates over the frequency bandwidth of 0.65–3.8 GHz with S11< −10 dB (VSWR) and smooth gains in the range of 6.2–9 dBi. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2369–2373, 2014
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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 | 0.001 | 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".