High-resolution correlation OTDR for distributed fiber-optic sensors and mobile cabling

Bernard, Jean-Jacques; Depresles, Emmanuel

doi:10.1080/01468038808222977

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…The sensor has the advantage that a standard multi-mode optical fiber can be used as a temperature-sensitive material. [2][3][4] To expand applicability of the technique to many areas requires improvement in both distance resolution and temperature resolution.5) Experimental realization of the high distance resolution was attempted by adopting the input pulse of short width as a pumping light and providing an electrical detection system with short sarnpling time to detect time-varying backscattered intensity. But difficulty was encountered in detected signals falling to a 10w level, because repetition-frequencies of the input pulses were limited by the whole length of the sensing fiber, and high peak power of the input pulse generated easily the stimulated Raman scattering6) which is independent of the temperature.…”

Section: Introductionmentioning

confidence: 99%

Pre-filtering Effect in an Iterative Deconvolution Method and Its Application to Signal Recovery in Fiber-Optic Distributed Temperature Sensors

Yoshimura

Kohinata

Morita

1996

OPT REV

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The signal quality 0L a fiber-optic distributed temperature sensor based on optical time domain reflectometry (OTDR) is improved using a pre-filtering technique in the iterative deconvolution method. Investigation of the performance is proposed using iteration conditions in which recovery rate of the signal-component is equal to that of the unfiltering technique. The recovered signal in the pre-filtering technique gives a good signal-to-noise ratio (SNR), 3 times of the unfiltered signal. Consequently, improvements in the OTDR signal with SNR of from 10 to 100 are obtained under the iterations for both distance and temperature resolutions.

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Section: Introductionmentioning

confidence: 99%

Pre-filtering Effect in an Iterative Deconvolution Method and Its Application to Signal Recovery in Fiber-Optic Distributed Temperature Sensors

Yoshimura

Kohinata

Morita

1996

OPT REV

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Distributed Optical Fiber Sensing Based on Rayleigh Scattering

Palmieri

Schenato

2013

TOOPTSJ

167

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Optical fiber sensors offer unprecedented features, the most unique of which is the ability of monitoring variations of the observed physical field with spatial continuity along the fiber. These distributed optical fiber sensors are based on the scattering processes that originate from the interaction between light and matter. Among the three different scattering processes that may take place in a fiber—namely Rayleigh, Raman and Brillouin scattering, this paper focuses on Rayleigh-based distributed optical fiber sensors. For a given optical frequency, Rayleigh-based sensors exploit the three main properties of light: intensity, phase and polarization. All these sensing mechanisms are reviewed, along with basic principles, main acquisition techniques and fields of application. Emphasis, however, will be put on polarization-based distributed optical fiber sensors. While they currently represent a niche, they offer promising unique features worth being considered in greater detail

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High-resolution correlation OTDR for distributed fiber-optic sensors and mobile cabling

Cited by 2 publications

References 2 publications

Pre-filtering Effect in an Iterative Deconvolution Method and Its Application to Signal Recovery in Fiber-Optic Distributed Temperature Sensors

Pre-filtering Effect in an Iterative Deconvolution Method and Its Application to Signal Recovery in Fiber-Optic Distributed Temperature Sensors

Distributed Optical Fiber Sensing Based on Rayleigh Scattering

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