Robust Joint Transmit and Receive Beamformer Design for Dual-Function Radar-Communication Systems
Why this work is in the frame
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Bibliographic record
Abstract
The performance of linear beamforming schemes for dual-function radar-communication systems can be quite sensitive to the accuracy of the available knowledge of the communication channels and the radar environment. To address that sensitivity, we develop a technique that jointly designs the transmit beamformers and the radar receive beamformers so as to optimize the worst-case radar signal-to-interference-plus-noise ratio (SINR), while guaranteeing that the communication users achieve their specified SINRs with a given probability of outage. We then exploit the structure of the design formulation to obtain a technique that requires less computational effort. The proposed designs provide significantly better performance than the design based on perfect knowledge of the environment, and better performance than a variant of that design that incorporates an intuitive robustness heuristic.
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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 | 0.001 | 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