Get our free extension to see links to code for papers anywhere online!Free add-on: code for papers everywhere!Free add-on: See code for papers anywhere!
Add to Chrome
Add to Firefox
Add to EdgePressure Wave Detection and Localization in Deployed Underground Fiber using Coherent Correlation OTDR
Dec 02, 2024
A deployed fiber with in-house and underground sections is interrogated with a coherent correlation OTDR. The origin and propagation speed of a hammer-generated pressure wave in the underground section is detected and acoustic signals are monitored.
* Optical Fiber Communication Conference (OFC) 2024
* This work has received funding from the Horizon Europe Framework Programme under grant agreement No 101093015 (SoFiN Project)
* This work has received funding from the Horizon Europe Framework Programme under grant agreement No 101093015 (SoFiN Project)
Via
Remote Sensing with High Spatial Resolution
Dec 02, 2024Distributed fiber sensing based on correlation-aided phase-sensitive optical time domain reflectometry is presented. The focus is on correlation as an enabler for high spatial resolution. Results from different applications are presented.
* Optical Fiber Communication Conference (OFC) 2024
* This work has received funding from the Horizon Europe Framework Programme under grant agreement No 101093015 (SoFiN Project)
* This work has received funding from the Horizon Europe Framework Programme under grant agreement No 101093015 (SoFiN Project)
Via
Simultaneous Temperature and Acoustic Sensing with Coherent Correlation OTDR
May 26, 2023Superimposed temperature variations and dynamic strain applied through a 400 Hz acoustic signal on a 195 m single-mode fiber section are successfully measured using a coherent correlation optical time domain reflectometry as an interrogator.
* Optical Fiber Communication Conference (OFC) 2023
* This work was partially funded by the German Federal Ministry of Education and Research in the framework of the RUBIN project Quantifisens (Project ID 03RU1U071D)
* This work was partially funded by the German Federal Ministry of Education and Research in the framework of the RUBIN project Quantifisens (Project ID 03RU1U071D)
Via