Evidence map›Paper›PMID 42315956›Full record

ArticleScientific reports2026

A joint pilot optimization and channel estimation algorithm based on CBAM-CNN for multipath fading environments in underground coal mines.

Fei Han, Chaoyang Liu, Yan Lei, Zhezhe Sun

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fei HanCollege of Information and Business, Shaanxi Energy Institute, Xianyang, 712000, China.
Chaoyang LiuSchool of Intelligent Mechanical and Electrical Engineering, Shaanxi Energy Institute, Xianyang, 712000, China. xwrt6192@outlook.com.
Yan LeiCollege of Information and Business, Shaanxi Energy Institute, Xianyang, 712000, China.
Zhezhe SunCollege of Information and Business, Shaanxi Energy Institute, Xianyang, 712000, China.

Funding

Key Research Project of Shaanxi Energy Institute Grant No. 2025KYZRZ03Natural Science Basic Research Program of Shaanxi Province Grant No. 25JC-YBMS-542
6 · The paper itself

Abstract

Accurate channel estimation in underground coal mine orthogonal frequency division multiplexing (OFDM) systems remains challenging due to severe multipath fading caused by confined tunnel geometry, rough surfaces, and pervasive coal dust. Conventional least squares (LS) estimators suffer from noise sensitivity, minimum mean square error (MMSE) estimators incur prohibitive O(N

Indexed as

Channel estimationConvolutional neural networkOFDMPilot optimizationUnderground coal mine

Identifiers

PMID42315956
PMCPMC13547303

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.