Signal-to-Noise Ratio of Brillouin Grating Measurement with Micrometer-Resolution Optical Low Coherence Reflectometry.

Brillouin dynamic grating Fourier-transform spectroscopy fiber optics fiber sensing four-wave mixing nonlinear optics optical interference

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
10 Feb 2020
Historique:
received: 25 01 2020
revised: 07 02 2020
accepted: 07 02 2020
entrez: 14 2 2020
pubmed: 14 2 2020
medline: 14 2 2020
Statut: epublish

Résumé

Signal-dependent speckle-like noise was the dominant noise in a Brillouin grating measurement with micrometer-resolution optical low coherence reflectometry (OLCR). The noise was produced by the interaction of a Stokes signal with beat noise caused by a leaked pump light via square-law detection. The resultant signal-to-noise ratio (SNR) was calculated and found to be proportional to the square root of the dynamic range (DR) defined by the ratio of the Stokes signal magnitude to the variance of the beat noise. The calculation showed that even when we achieved a DR of 20 dB on a logarithmic scale, the SNR value was only 7 on a linear scale and the detected signal tended to fluctuate over ±14% with respect to the mean level. We achieved an SNR of 24 by attenuating the pump light power entering the balanced mixer by 55 dB, and this success enabled us to measure the Brillouin spectrum distributions of mated fiber connectors and a 3-dB fused fiber coupler with a micrometer resolution as examples of OLCR diagnosis.

Identifiants

pubmed: 32050649
pii: s20030936
doi: 10.3390/s20030936
pmc: PMC7038992
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : JSPS KAKENHI
ID : JP18K04969

Références

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pubmed: 27411124
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pubmed: 18451941
Opt Lett. 2010 Jan 1;35(1):52-4
pubmed: 20664670

Auteurs

Kazumasa Takada (K)

Division of Electronics and Informatics, Faculty of Science and Technology, Gunma University, 1-5-1 Tenjin, Kiryu, Gunma 376-8515, Japan.

Shin-Ichi Satoh (SI)

Division of Electronics and Informatics, Faculty of Science and Technology, Gunma University, 1-5-1 Tenjin, Kiryu, Gunma 376-8515, Japan.

Akiya Kawakami (A)

Division of Electronics and Informatics, Faculty of Science and Technology, Gunma University, 1-5-1 Tenjin, Kiryu, Gunma 376-8515, Japan.

Classifications MeSH