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Analysis of temperature sensitivity of fibers with high nonlinear characteristics in Rayleigh backscattering based OTDR temperature sensor

ABDULLAH ERKAM GUNDUZ1,* , HALİM HALDUN GOKTAS2

Affiliation

  1. Department of Electrical and Electronics Engineering, Ankara Yıldırım Beyazıt University, Ankara, Turkiye
  2. Department of Electrical and Electronics Engineering, Ankara Bilim University, Ankara, Turkiye

Abstract

This paper presents an investigation of different types of fibers for their compatibility in a Rayleigh based optical time domain reflectometer (R-OTDR) temperature sensor setup. A reference test setup consisting of standard single mode fiber (SMF) is observed to constitute a background for comparison. In this setup, the Rayleigh response of -50.25 dBm and a temperature sensitivity of 0.002 dB/°C is achieved. Then Rayleigh responses for highly nonlinear fiber (HNLF), dispersion shifted fiber (DSF) and polarization maintaining fiber (PMF) are observed. The Rayleigh responses were: HNLF had -39.83 dBm, DSF had -34.03 dBm and PMF had -31.34 dBm. Since PMF showed the best Rayleigh response it was selected to be observed as fiber under test (FUT) in a classical R-OTDR temperature sensor setup. With the PMF used in temperature R-OTDR setup a temperature sensitivity of 0.018 dB/°C was achieved. As a result, it has been determined that PMF fiber has high temperature sensitivity in R-OTDR installations compared to SMF. It has been shown that temperature measurements can be made on shorter lengths of fiber with a much simpler setup using PMF as opposed to the more complex alternatives.

Keywords

Optical time domain reflectometer, Rayleigh backscattering, Distributed temperature sensor, Nonlinear fiber.

Citation

ABDULLAH ERKAM GUNDUZ, HALİM HALDUN GOKTAS, Analysis of temperature sensitivity of fibers with high nonlinear characteristics in Rayleigh backscattering based OTDR temperature sensor, Optoelectronics and Advanced Materials - Rapid Communications, 17, 11-12, November-December 2023, pp.484-489 (2023).

Submitted at: June 9, 2023

Accepted at: Dec. 4, 2023