Joint Detection and Tracking for Compact HFSWR
Why this work is in the frame
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Bibliographic record
Abstract
Due to reduced aperture size of the receiving antenna array and low transmit power, compact high-frequency surface wave radar suffers from low positioning accuracy and low detection probability, which raises challenges to target detection and tracking. Under such circumstances, traditional detection before tracking methods in which one-way information transmission from the detector to the tracker is used often lead to false tracking and track fragmentation due to missed detections and interferences. To address this problem, a joint detection and tracking processing framework which realizes a two-way target information transmission between the detector and tracker is proposed in this paper. Experimental results using field data show that the average tracking time on target obtained by the proposed method is 17.5 minutes longer than that of the detection before tracking method. The plot-to-track association accuracy and target tracking continuity is significantly improved.
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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