Artículos de revistas
Distributed Temperature Sensing Using Cyclic Pseudorandom Sequences
Fecha
2017-03Registro en:
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
1530-437X
1365-2567
CONICET Digital
CONICET
Autor
Brinatti Vazquez, Guillermo Daniel
Martínez, Oscar Eduardo
Kunik, Dario
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.