Artículo

Distributed Temperature Sensing Using Cyclic Pseudorandom Sequences

Brinatti Vazquez, Guillermo DanielIcon ; Martínez, Oscar EduardoIcon ; Kunik, DarioIcon
Fecha de publicación: 03/2017
Editorial: Institute of Electrical and Electronics Engineers
Revista: IEEE Sensors Journal
ISSN: 1530-437X
e-ISSN: 1365-2567
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

An alternative for commercial Raman-Optical Time Domain Reflectometry (OTDR) distributed temperature sensors is presented, where a pseudorandom pulse sequence is used to increase the signal to noise ratio. Additionally, a deconvolution algorithm is proposed to eliminate distortions in the reconstruction arising from the real correlation properties of the sensing signal. An improvement in SNR of a factor 11 respect to the Raman-OTDR method at the same peak power was achieved, allowing 2 m and 1.5 °C resolution in a 6 s measurement using a 90-mW Continuous wave semiconductor laser.
Palabras clave: Optical Fiber Sensors , Temperature Sensors
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/53337
DOI: http://dx.doi.org/10.1109/JSEN.2016.2647206
URL: https://ieeexplore.ieee.org/document/7802633/
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Citación
Brinatti Vazquez, Guillermo Daniel; Martínez, Oscar Eduardo; Kunik, Dario; Distributed Temperature Sensing Using Cyclic Pseudorandom Sequences; Institute of Electrical and Electronics Engineers; IEEE Sensors Journal; 17; 6; 3-2017; 1686-1691
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