On the Deceptive Jamming Technique Against Video Synthetic Aperture Radar
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
Deceptive jamming against synthetic aperture radar (SAR) is significant in defending against hostile reconnaissance and securing the region. Traditional jamming approaches primarily aim at single-imagery SAR, signal waveform type, multichannel, array, and degree of freedom. Since the video SAR (VideoSAR) system can enhance reconnaissance capability in detection, recognition, and perception in dynamic region of interest (DROI), it is imperative to devote to the relevant jamming discipline. To the best of our knowledge, it is the first time that a novel deceptive jamming perspective against VideoSAR system is proposed with simultaneously single-channel, single-band, and single-pass configurations. Frame-dependent principle of deceptive modulation against VideoSAR is derived from the video polar format algorithm (PFA). To obtain the VideoSAR deceptive jamming templates with diverse scattering features and high fidelity, a nonsubsampled Shearlet transform scattering characterization controlling approach is proposed for depicting the multidimensional intrinsic correlations of electromagnetic (EM) scattering behaviors. Three high-resolution airborne VideoSAR datasets are employed to confirm the effectiveness of the proposed deceptive jamming in anisotropy scenarios.
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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 | 0.001 |
| 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