Clutter removal in the automatic detection of concealed weapons with late time responses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It has been shown that the late time response of a weapon contains important information about its resonant signature, which is dependent on the weapon's size, shape and constitutive parameters. We extract the resonances of a radar return using the Total Least Squares Matrix Pencil Method. Background clutter is suppressed by de-embedding its eigenvalues from the radar return. An Artificial Neural Network Classifier is used to determine if a target is a threat or not. Finally, we demonstrate the algorithm performance using measured data taken in a cluttered environment. The experiments show that, with proper clutter removal, monostatic radar measurements from 0.5 GHz to 5 GHz within 1.5 meters of the inspected person provide a feasible tool for concealed weapon detection.
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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