Power Gain Optimization for Multiple Active Multiple Passive Dipole Antenna Arrays
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Bibliographic record
Abstract
In this work we consider dipole antenna arrays composed of both active, i.e., excited by voltage sources, and reactively controlled passive dipole elements. Unlike the traditional approach in which the current distribution along the antenna elements is assumed to be sinusoidal, herein we obtain the exact distribution from the Hallen equations using the Method of Moments (MoM). The obtained current distributions are subsequently used to derive exact expressions for the far-field power gain of the antenna array in any given direction. Using the exact current distribution, we show that the current distributions on the dipole elements can deviate significantly from the sinusoidal approximation. Consequently, the exact power gain pattern mismatches that obtained using the sinusoidal assumption for the current distribution. Optimizing the excitation voltages and the load reactances for the active and passive elements, respectively, to maximize the gain; constitutes a non-convex optimization problem.
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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 | 0.000 | 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 it