Literature DB >> 32370219

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

Daniele Tosi1,2, Carlo Molardi1, Wilfried Blanc3, Tiago Paixão4, Paulo Antunes4, Carlos Marques4.   

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.

Entities:  

Keywords:  Rayleigh scattering; distributed sensors; optical backscatter reflectometry (OBR); optical fiber sensors; scattering-level multiplexing

Year:  2020        PMID: 32370219     DOI: 10.3390/s20092595

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Composed Multicore Fiber Structure for Extended Sensor Multiplexing with Fiber Bragg Gratings.

Authors:  Ravil Idrisov; Adrian Lorenz; Manfred Rothhardt; Hartmut Bartelt
Journal:  Sensors (Basel)       Date:  2022-05-19       Impact factor: 3.847

2.  Engineering nanoparticle features to tune Rayleigh scattering in nanoparticles-doped optical fibers.

Authors:  Victor Fuertes; Nicolas Grégoire; Philippe Labranche; Stéphane Gagnon; Ruohui Wang; Yannick Ledemi; Sophie LaRochelle; Younès Messaddeq
Journal:  Sci Rep       Date:  2021-04-27       Impact factor: 4.996

  2 in total

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