Development of Recommended Practices for Synthetic Aperture Channel Sounding
Bibliographic record
Abstract
Wireless channel sounding using synthetic aperture or virtual array techniques is an emerging area that is not yet technically mature. Most early work was motivated by COST 259 and similar work that focused on directional channels and was conducted in personal communications bands between 850 MHz and 6 GHz. More recently, efforts have focused to systems used to characterize millimetre-wave channels and have been motivated by efforts to extend 3GPP-based systems into frequency bands above 24 GHz. While synthetic or virtual array channel sounders are free from the challenges associated with mutual effects between adjacent elements and much less expensive to implement than fully populated arrays, they can only be used to characterize environments that are effectively static for the duration of the scan. Significant improvements in performance can be realized by optimizing the array lattice and improving the signal processing techniques used to extract direction of arrival information. However, past efforts to use virtual array techniques by the wireless channel sounding research community have rarely reflected the considerable knowledge and insights developed by the virtual array research community.
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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 | 0.035 | 0.128 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.034 | 0.045 |
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".