Single Channel Frequency-Diverse Computational Imaging System for Through-the-Wall Sensing
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a through-the-wall computational imaging (CI) system employing frequency-diverse antennas. CI has emerged as a promising alternative to conventional radar imaging systems (such as those based on synthetic aperture radar) since they allow to significantly reduce the acquisition time and the hardware complexity. CI relies on using compressive antennas, radiating quasi-orthogonal radiation patterns, to compress the scene information into a single channel (or a reduced number of them). The feasibility of performing through-the-wall sensing employing frequency-diverse antennas is demonstrated for the first time in this work. Furthermore, a method to account for the propagation through the wall, which helps to increase the quality of the reconstructed images, is also proposed. Measurement results show that the system can successfully image targets hidden behind a wall with only a single standalone acquisition, thus drastically reducing the inspection time.
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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 | 0.001 | 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