39-tone MIL-STD-188-110A HF signal
Bibliographic record
Abstract
Sa majeste ́ la reine, représentée par le ministre de la Défense nationale, 2002 A set of algorithms has been developed to demodulate and decode the 39 tone signal, which is prevalent in the High Frequency (HF) frequency band. This signal, based on the MIL-STD-188-110A Standard, is one of several different types generated by the AN/PRC-138 Harris radio. Defence R&D Canada (DRDC)- Ottawa has two of these radios. Our work focused on the 39 tone fixed frequency mode, although the 39 tone signal is also the underlying modulation used in the AN/PRC-138’s frequency hopping mode. Thus, the work described here will also be useful to anyone developing dehopping and demodulation algorithms for the AN/PRC-138 frequency hopping signal. The signals were captured by the Agilent Technologies Blackbird system in a laboratory setting. The objective of the task was to gain a detailed understanding of the sophisticated 39 tone signal and to develop software radio algorithms for demodulating and decoding the signal. The report describes the signal structure, the signal capture equipment, and the steps involved in demodulating and decoding the signal so that the
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.010 |
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 source (direct Gemma or distilled Codex), 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".