Design considerations for a shipboard MIMO radar for surface target detection
Why this work is in the frame
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Bibliographic record
Abstract
An active phased array radar or a navigation radar is used in many navies around the world for surface target detection. Multiple-input multiple-output (MIMO) radar differs from current technology by using orthogonal waveforms on transmission which allows it to form a virtual array and conduct beamforming on reception. These differences introduce many advantages, but also some critical design considerations. Specifically, Doppler returns from a target have a greater effect on a MIMO radar due to its inherit requirement to integrate longer to maintain the same signal to noise ratio (SNR) as a phased array radar (PAR). In this paper, a Simulink-based MIMO radar model is developed to evaluate the performance of a naval MIMO radar against a PAR and provides a design restriction on the coherent processing interval (CPI) for detecting moving targets while highlighting the importance of selecting an operating frequency. Simulation results demonstrate that Doppler returns have a more profound effect on the probability of detection in a MIMO radar than they do in a PAR. Simulations also show that a MIMO radar shares the same two-way beam pattern as a PAR when using the same antenna structure and that a MIMO radar searches a large area and refreshes the radar picture faster than a PAR, but at a cost of additional computations.
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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