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Temperature measurements in deployed optical fiber networks using single photon optical time domain reflectometry
Optics Express
|March 2, 2023
Summary
We developed a method using Optical Time Domain Reflectometry (OTDR) at the single photon level to measure temperature changes in deployed optical fiber networks. This technique achieves 0.08°C accuracy over kilometers, enabling in-situ characterization for various fiber networks.
Area of Science:
- Photonics and Optical Sensing
- Fiber Optic Technology
- Metrology
Background:
- Accurate temperature monitoring is crucial for the performance and longevity of deployed optical fiber networks.
- Existing methods may lack the sensitivity or range required for comprehensive in-situ characterization.
- Single photon level measurements offer enhanced precision for optical sensing applications.
Purpose of the Study:
- To demonstrate a novel approach for measuring average temperature changes in deployed optical fiber networks.
- To develop and validate a model correlating temperature variations with photon time-of-flight changes.
- To enable precise in-situ characterization of both quantum and classical optical fiber networks.
Main Methods:
- Utilized Optical Time Domain Reflectometry (OTDR) at the single photon level.
- Derived a physical model linking optical fiber temperature changes to the time-of-flight of reflected photons (-50 to 400 °C).
- Employed a pulsed 1550 nm laser and a Superconducting Nanowire Single Photon Detector (SNSPD) for measurements.
Main Results:
- Achieved temperature change measurement accuracy of 0.08 °C over kilometer distances.
- Successfully demonstrated temperature measurements in a live, dark optical fiber network in Stockholm.
- Validated the derived model for temperature-dependent photon time-of-flight shifts.
Conclusions:
- The single photon level OTDR approach provides a highly accurate method for in-situ temperature monitoring of optical fibers.
- This technique is applicable to a wide range of temperatures and distances relevant to deployed networks.
- Enables enhanced characterization and potentially predictive maintenance for critical fiber infrastructure.

