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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".