Evidence map›Paper›PMID 41235963›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Near-Field Acoustic Imaging Using Fiber-Optic Distributed Acoustic Sensing and Beamforming Techniques.

Marcelo A Soto, Diego Badillo-San-Juan

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Marcelo A SotoDepartment of Electronics Engineering, Universidad Técnica Federico Santa María, Valparaíso, 2390123, Chile.ORCID https://orcid.org/0000-0002-2140-2012
Diego Badillo-San-JuanDepartment of Electronics Engineering, Universidad Técnica Federico Santa María, Valparaíso, 2390123, Chile.ORCID https://orcid.org/0009-0004-9017-7076

Funding

Agencia Nacional de Investigación y Desarrollo BasalAFB240002Agencia Nacional de Investigación y Desarrollo FondecytRegular1241085Agencia Nacional de Investigación y Desarrollo FondequipEQM220113Office of Naval Research Global N629092412124
6 · The paper itself

Abstract

Distributed acoustic sensors (DAS) detect mechanical vibrations along optical fibers with meter-scale spatial resolution, capturing the waves directly reaching the fiber. Deploying dense fiber nets in two or three dimensions for spatially-precise sensing over large regions is often impractical or unfeasible, highlighting the need for a method to monitor the propagating mechanical (acoustic) waves in regions far from the sensing fiber. Here, a beamforming-based method is proposed to image acoustic emissions around an optical fiber, including areas without fiber deployment. By combining DAS measurements from multiple sampled fiber locations (DAS channels) and using a near-field array signal processing approach, the technique can enable the development of an acoustic camera to generate 2D or 3D acoustic maps with meter-scale spatial resolution, covering areas spanning several square kilometers, even outside the optical fiber deployment region. The method includes a dedicated blind selection of high-quality DAS channels to address intrinsic DAS limitations (e.g., uneven longitudinal response and directional axial response) and external factors (e.g., poor fiber-ground coupling and multipath wave propagation). The approach allows the precise localization of vibration sources, and potentially of acoustic reflections, extending DAS capabilities to analyze the propagation of vibration waves in regions distant from the fiber.

Indexed as

acoustic imagingbeamformingdistributed acoustic sensingoptical fiber sensorsrayleigh scattering

Identifiers

PMID41235963
PMCPMC12866732

What OpenQuestion holds

Textmetadata
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.