Superoscillatory Radar Imaging: Improving Radar Range Resolution Beyond Fundamental Bandwidth Limitations
Why this work is in the frame
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Bibliographic record
Abstract
In this work, we propose to improve the range resolution in a conventional radar system by employing a superoscillatory pulse as the radar pulse. A superoscillatory waveform is a waveform which contains, across a finite time interval, faster variations than its highest constituent frequency component. As such, radar imaging using a superoscillatory pulse allows one to detect an object with a range resolution improved beyond a fundamental bandwidth limitation. In this work, we experimentally compare the radar resolution performance of a 500 MHz superoscillatory pulse with that of a sinc pulse of the same bandwidth, and demonstrate that the superoscillatory pulse reduces distance uncertainty by 36%. We also suggest future directions of development to our proposed radar system.
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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