5 GHz UAV Array Antenna Design with a 3×4 Reconfigurable Feeding Network for Wide Elevation Coverage
Bibliographic record
Abstract
This paper presents a 5 GHz UAV array antenna with a 3×4 reconfigurable feeding network for wide elevation coverage. The proposed array comprises a four-element printed dipole antenna array in the top substrate, two supports with a tapered balun, a self-reflector for gain improvement, and a reconfigurable feeding network in the bottom substrate. For wide beam coverage, the feeding network comprises one RF switch, one Wilkinson power divider, and two 90° hybrid couplers; further, the network achieves wide beam coverage using one broadside beam and two end-fire beams. The measured impedance bandwidth, peak gain, and half-power beamwidth of the proposed array operated from 5.03 to 5.15 GHz are approximately 850 MHz(17 %), 6.7 dBi, and 180°, respectively.
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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 | 0.001 |
| 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".