Implementation of AESA Technology for High-Target Dynamic Telemetry Ground Antennas
Bibliographic record
Abstract
This paper describes the implementation of AESA technology for telemetry ground antennas. Telemetry ground antennas play a key role in the functioning of telemetry systems, by receiving the data transmitted by the system and sending it to a ground station for analysis and processing. The use of AESA technology allows for more precise targeting and tracking, making them ideal for high target dynamic applications. The design proposed is a 1-axis electronically steerable antenna, which would be used for elevation while the azimuth axis would be mechanically driven. This proposed design would result in a 1 m² antenna that is specifically intended for short to medium range telemetry and is able to handle high target dynamics. The paper presents results about the first prototype that was manufactured and tested. The focus of the document then shifts to the development of a complete prototype that will be used for evaluation and testing in order to further refine and improve the design.
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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 | 0.000 | 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 | 0.000 | 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".