The Effect of the Human Body on MIMO-UWB Signal Propagation in an Underground Mine Gallery
Bibliographic record
Abstract
This paper studies the effects caused by the presence of a human body on a multiple-input-multiple-output (MIMO) ultra-wideband (UWB) communication system. It is very important to study the fading effects caused by the movement of a human body, since these effects become particularly significant when characterizing short-range channels. To address this issue, the wireless channel is measured over 7.5 GHz bandwidth using a 2×2 MIMO system in an underground mine containing a human body. Results suggest that human presence substantially affects both path gain and time dispersion parameters experienced by the link. It is demonstrated that larger K-factors (1.6 dB) can be attributed to the high losses associated with reflections caused by a human body, which in turn reduce the strength of the received scattered signal. Consequently, the presence of a mineworker should be considered when assessing the performance of an underground mine gallery wireless system.
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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 | 0.000 | 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) | 0.001 | 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 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".