Sub-Nyquist collocated MIMO radar in time and space
Why this work is in the frame
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Bibliographic record
Abstract
Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional monostatic radar by exploiting transmit waveform diversity. Achieving high resolution requires a large number of transmit and receive antennas. In addition, the digital processing is performed on samples of the received signal at its Nyquist rate, which can be high. Overcoming the rate bottleneck, sub-Nyquist sampling methods have been proposed that break the link between monostatic radar signal bandwidth and sampling rate. In this work, we extend theses methods to MIMO radar and apply the Xampling framework both in the time and spatial domains, achieving reduction in the number of deployed antennas and the number of samples per receiver, without degrading the time and spatial resolutions.
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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