Cognitive radar waveform design for multiple targets based on information theory
Why this work is in the frame
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Bibliographic record
Abstract
In order to make received radar echo take maximum targets information under multiple targets' circumstance, the information theoretical approach for designing transmit waveform is utilized. Firstly, it deduces the relationship between transmitting waveform and multi-target mutual information in two conditions. One condition is radar echo with only noise background and the other is with clutter in consideration. Then it obtains the optimal transmitting waveform based on maximum mutual information criterion. Transmitting waveform is designed by utilizing prior information including target spectral variance, noise power spectrum and clutter power spectrum. Simulation results demonstrate that compared with LFM signal, designed waveform based on maximum mutual information criterion can make radar echoes contain more multi-targets' information and improve radar performance as a result. Finally, correlative parameters which influence mutual information are analyzed and the conclusion is gained that mutual information is directly proportion to observation time of transmitting waveform and approximately logarithmic to transmit power. Mutual information would be raised when clutter is feebler and the highest peak of target spectral variance is more near.
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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