A novel back-projection algorithm based on time-delay evaluated by 2-D CFAR
Bibliographic record
Abstract
Imaging algorithms can make the detection of buried objects easier. These algorithms use reflected power from different scatterers with different time delays. Reflected signals from almost perpendicular angles have a significant weight in the imaging algorithms. One additional main feature of these signals is that they have fewer time delays. In this paper, we investigate two parameters that can enhance the back projection (BP) imaging algorithm. The first parameter is the antenna pattern. It controls the ability of radar to sense different angles. The second one is the delays for a point of image based on different locations of radar. It is noticeable that nearfield imaging algorithms suffer from artifacts more than noise. The ground surface clutter can make artifacts more than other clutters. So, clutter cancellation is an important task. The time gating method accomplishes this task better in ultra-wideband (UWB) radars. An experimental setup is used to demonstrate the presented algorithm improvements.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".