Joint deinterleaving/recognition of radar pulses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
An electronic support measures (ESM) system consists of a passive radar receiver that receives and measures the monopulse parameters of pulses emitted by radars in its instantaneous view, and a deinterleaver that sorts these pulses and groups them into individual cells. The cell parameters are compared with those stored in the threat library of the electronic warfare (EW) system to identify the intercepted radars. This paper proposes a new approach to deinterleave the intercepted pulses and identify the corresponding radars in one step. The proposed approach can successfully identify radars whose angles of arrival are very close. Moreover, the proposed approach can be applied as an integral part of the adaptive deinterleaving algorithm to prevent the ESM from taking actions against false radars and consequently, avoids a waste of the available resources. Computer simulation results have shown that the proposed approach can successfully deinterleave radar pulses and identify the corresponding radars.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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