Bibliographic record
Abstract
By designing low-loss interconnects with low mutual couplings, compact power dividers/combiners, and multi-layer antennas that utilize artificially perfect magnetic conductors, stacked patches/rings, and LGA airgap, high-performance phased array antenna modules are developed. The modules operate over 57–71 GHz, or 24–44 GHz. Based on the phase shifter resolution, a set of phases/amplitudes are optimized to maximize gain and coverage while minimizing the latency. Heatmap diagrams are shown to represent beam selections and its deviation with the ideal case. By manipulating phase/amplitude of front-end blocks, semi-omni radiation patterns are achieved for link initiation, side-lobe levels are reduced, and ideal far-field feed sources are realized for reflector antennas. To experimentally analyze the performance, connectorized evaluation boards were designed and implemented. The outputs of these modules were later used to define the realized gain of the antennas. The antenna modules were evaluated in different anechoic chambers, including a compact antenna test range chamber. The measured results were compared with simulation achievements, showing excellent agreements with EIRPs up to 48 d$B$m over 57–71 GHz, and 51 d$B$m over 24–44 GHz. The radiation patterns are stable over the entire bandwidth and the beam can be scanned up to±60° with less than 4 d$B$gain drop.
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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) | 0.001 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.008 |
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".