A Miniaturized CP Antenna Using Superstrate for Medical Applications
Bibliographic record
Abstract
Wearable antennas are essential for human body applications, requiring thorough analysis of radiation properties and current distribution. This study employs Characteristic Mode Analysis (CMA) to identify distinct modes, radiation characteristics, and polarization behavior, while utilizing a superstrate, shorting pins, and 45o slots to achieve miniaturization. A key contribution of this work is the use of CMA to strategically design a circularly polarized (CP) antenna, where polarization is achieved through carefully introduced slots. CMA reveals how these slots excite specific modes and provides control over their phase difference using modal significance and characteristic angles.enabling a targeted, mode-based approach to CP design. The proposed antenna features a circular patch with 45-degree slots, an Al.O. superstrate (εr = 9.8), and a 50 Ω-coaxial probe feed. The fabricated model has electrical dimensions of 0.32λ 0.32λ at 2.45 GHz. Tested in both vacuum and under human proximity, the antenna demonstrates impedance bandwidths of 4.16% and 4.2%, and axial ratio bandwidths of 4.0% and 4.02%. Specific absorption rates for 1g and 10g of human tissue are 0.231 W/kg and 0.35 W/kg, and for a complete human arm model, the SAR values are 0.274 W/kg (1g) and 0.396 W/kg (10g).all well below regulatory limits. A link budget analysis shows reliable communication over a range of 100 meters. The antenna exhibits an omnidirectional radiation pattern and operates within the 2.45 GHz ISM band. This work provides a compact, miniaturized solution for wearable CP antennas, overcoming challenges in flexibility, gain, and SAR compliance while ensuring effective communication and patient tracking.
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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 | 0.001 | 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".