A Repeater Deception Jamming System Based on High Gain Antenna Array Spatial Separation Receiving
Why this work is in the frame
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Bibliographic record
Abstract
Aiming at the problems of high cost and high-power consumption of the existing repeater satellite navigation deception jamming system, a repeater deception jamming system based on high gain antenna array spatial separation reception is designed.Through eight sets of high-gain parabolic antennas, the appropriate satellite is selected to obtain a single satellite signal, and then the time delay of each satellite signal is accurately controlled according to the spoofing position point, and the pseudo-range information is changed.Finally, the target receiver is transmitted to the target receiver in a combined way to achieve the purpose of deception.At the same time, in order to ensure the effectiveness of the interference, combined with the satellite space geometry, the optimal satellite strategy algorithm is designed.Field experiments show that the system can successfully deceive typical receivers.
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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 | 0.000 | 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 it