An Imaging Technique Based on Distributed Multi-channel Radars
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Bibliographic record
Abstract
This paper proposes an non—cooperative target imaging technique based on the distributed multi-channel radar system,which consists of multiple sparsely—located transmitters and receivers.By coherently processing the signals received in multiple radar channels,the wave-number samples in a plane are obtained,from which the two-dimensional reflectivity function of target is reconstructed.Due to the simultaneous formation of multi-channel echo data and coherent processing of a singlesnap,it does not require large antennas,and the complicated motion compensation performed in ISAR imaging is not needed.Meanwhile,the reconstructed images are naturally scaled because the sampling locations in wave-number space are known.To validate the imaging performance,the distributed radar systems with wide-band transmitted signal are designed respectively,and the sireulations are demonstrated.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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