Reduced time-on-target in pulse Doppler radar: Slow time domain compressed sensing
Why this work is in the frame
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Bibliographic record
Abstract
Pulse Doppler radars measure both the targets distance to the transceiver and their radial velocity, through estimation of time delays and Doppler frequencies, respectively. This digital processing is traditionally performed on samples of the received signal at its Nyquist rate, which can be prohibitively high. Overcoming the rate bottleneck, sub-Nyquist sampling methods have been proposed that break the link between radar signal bandwidth and sampling rate. In this work, we extend this concept to the slow time domain. We choose to transmit non-uniformly spaced pulses in one direction, thus allowing to reduce the average time-on-target by exploiting the complementary set of transmitted pulses in another direction. Both software and hardware simulations demonstrate reduced time-on-target and recovery of several delay-Doppler maps within the same coherent processing interval.
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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) | 0.001 | 0.001 |
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