Evidence map›Paper›PMID 32370219›Full record

ArticleSensors (Basel, Switzerland)2020

Performance Analysis of Scattering-Level Multiplexing (SLMux) in Distributed Fiber-Optic Backscatter Reflectometry Physical Sensors.

Daniele Tosi, Carlo Molardi, Wilfried Blanc, Tiago Paixão, Paulo Antunes, Carlos Marques

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 25 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Daniele TosiSchool of Engineering and Digital Sciences, Nazarbayev University, 010000 Nur-Sultan, Kazakhstan.ORCID 0000-0002-6500-4964
Carlo MolardiSchool of Engineering and Digital Sciences, Nazarbayev University, 010000 Nur-Sultan, Kazakhstan.ORCID 0000-0002-9922-683X
Wilfried BlancINPHYNI, UMR 7010, Université Côte d'Azur, CNRS, Parc Valrose, 06108 Nice, France.
Tiago PaixãoPhysics Department, I3N & University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0003-0736-5849
Paulo AntunesPhysics Department, I3N & University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0001-9129-3539
Carlos MarquesPhysics Department, I3N & University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-8596-5092
University of Aveiro · PTNazarbayev University · KZCentre National de la Recherche Scientifique · FR

Funding

Agence Nationale de la Recherche NanoSlim (ANR-17-CE08-0002)Agence Nationale de la Recherche Nice-DREAM (ANR-14-CE07-0016-03)Fundação para a Ciência e a Tecnologia PD/BD/128265/2016Fundação para a Ciência e a Tecnologia UID/CTM/50025/2019Nazarbayev University EPICGuide (code: 240919FD3908)Nazarbayev University FOSTHER (core: 090118FD5314)Nazarbayev University SMARTER (code: 091019CRP2117)
6 · The paper itself

Abstract

Optical backscatter reflectometry (OBR) is a method for the interrogation of Rayleigh scattering occurring in each section of an optical fiber, resulting in a single-fiber-distributed sensor with sub-millimeter spatial resolution. The use of high-scattering fibers, doped with MgO-based nanoparticles in the core section, provides a scattering increase which can overcome 40 dB. Using a configuration-labeled Scattering-Level Multiplexing (SLMux), we can arrange a network of high-scattering fibers to perform a simultaneous scan of multiple fiber sections, therefore extending the OBR method from a single fiber to multiple fibers. In this work, we analyze the performance and boundary limits of SLMux, drawing the limits of detection of N-channel SLMux, and evaluating the performance of scattering-enhancement methods in optical fibers.

Indexed as

distributed sensorsoptical backscatter reflectometry (OBR)optical fiber sensorsRayleigh scatteringscattering-level multiplexing

Identifiers

PMID32370219
PMCPMC7248715
OpenAlexW3021009124

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.