Dual-Band, Dual Independently-Tunable Near-Field Focus Metasurface for Advanced Radar Bio-Sensor
Bibliographic record
Abstract
The demand for advanced, non-invasive blood glucose monitoring technologies has driven extensive research into radar sensing applications. This paper introduces a dual-band, dual independently-tunable near-field focus metasurface designed to enhance the performance of millimeter (mm)-wave radar-based bio-sensor. This metasurface enables dual focusing of absorbed power within human skin, achieved through a phase-synthesized analysis of the metasurface array, where each focal point is controlled by a distinct frequency band within the radar spectrum. The integration of the proposed metallic slot metasurface with commercially available Infineon radar TX/RX antennas results in a 14.7 dB and 12.4 dB increase in Poynting power density at two distinct points within a human skin phantom model, along with an increase in radar-received power by 11 dB and 12.7 dB at 58.5 GHz and 61.7 GHz, respectively, significantly enhancing the radar's bio-sensing capabilities.
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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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".