Evidence map›Paper›PMID 41829667›Full record

ArticleSensors (Basel, Switzerland)2026

Inversion of

Shangming Du, Tianwei Chen, Yuxing Duan, Ke Jiang, Song Wu, Can Guo, Lei Liang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

7 authors.

Shangming DuSanya Science and Innovation Park, Wuhan University of Technology, Sanya 572000, China.ORCID 0009-0003-8478-258X
Tianwei ChenSchool of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430062, China.ORCID 0000-0003-1748-9255
Yuxing DuanSanya Science and Innovation Park, Wuhan University of Technology, Sanya 572000, China.ORCID 0009-0004-8339-9391
Ke JiangNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430062, China.ORCID 0000-0002-7938-4769
Song WuSanya Science and Innovation Park, Wuhan University of Technology, Sanya 572000, China.ORCID 0009-0003-7516-7374
Can GuoSanya Science and Innovation Park, Wuhan University of Technology, Sanya 572000, China.ORCID 0009-0009-6305-2434
Lei LiangSanya Science and Innovation Park, Wuhan University of Technology, Sanya 572000, China.ORCID 0000-0003-4264-1597

Funding

Hainan Province International Cooperation Project GHYF2025020Hainan Provincial Natural Science Foundation of China 525QN389
6 · The paper itself

Abstract

The spatial response of rectangular pulse heterodyne phase-sensitive optical time-domain reflectometry (ϕ-OTDR) to an acoustic event is characterized by a windowing function rather than a point-like sensitivity. This effect degrades the system's spatial resolution and introduces systematic errors in array signal processing. This work presents modeling analysis and a mitigation strategy for this fundamental limitation. The spatial windowing effect is modeled as a point spread function (PSF) derived from physical mechanisms and system parameters, including the pulse width, gauge length, and intra-pulse intensity dynamics. The PSF model is validated against measurements under near-ideal conditions using a fiber-coupled tuning fork. A Wiener filter-based deconvolution method is utilized to invert the windowed spatial response towards a point-like response. The effectiveness of this inversion is demonstrated through enhanced spatial resolution and accurate reconstruction of two-dimensional wavefront geometry. Furthermore, the impact of this effect on array signal processing is quantitatively evaluated. The results demonstrate that the proposed method effectively suppresses systematic errors in wavefield analysis, and specifically enhances the accuracy and confidence of steered response power-phase transform (SRP-PHAT) spatial spectrum estimation. This study provides a systematic framework for understanding, quantifying, and inverting the spatial response in ϕ-OTDR, enabling accurate and interpretable acoustic field sensing.

Indexed as

deconvolutiondistributed acoustic sensingheterodyne detectionpoint spread functionspatial spectrum estimationSRP-PHATWiener filterϕ-OTDR

Identifiers

PMID41829667
PMCPMC12987321

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.