Near-Field Sensing Improvement of a Radar AntennaOn-Chip Using a Transmissive Superstrate
Bibliographic record
Abstract
The design of a planar transmissive superstrate for near-field sensing improvement of the compact short-range radar antenna is presented. The superstrate structure is designed to be placed at a half wavelength above the radar transmitter/receiver antennas while contacting human skin without airgap. The purpose is to increase the power absorbed from the transmitter antenna into the human skin while simultaneously improving the radar SNR. The proposed superstrate with dimensions of 1.54 λ × 1.54 λ × 0.16 λ consists of two metallic layers of a phase-corrected microstrip crossed-dipole array printed on both sides of a substrate. Using full-wave electromagnetic simulations, the nearfield analysis inside the human skin model illustrates that using the planar superstrate enhances the near-field Poynting power into a human skin model from 19,825 W/m2to 41,585 W/m2which is a 2.1 times improvement, and the transmit-receive coupling analysis demonstrates an improvement of 5.2 dB of the radar received power.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".