Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter

Document pages: 9 pages

Abstract: The accuracy of temperature measurement is often reduced due to randomnoise in Raman-based distributed temperature sensor (RDTS). A noise reductionmethod based on a nonlinear filter is thus proposed in this paper. Compared with thetemperature demodulation results of raw signals, the proposed method in thispaper can reduce the average maximum deviation of temperature measurementresults from 4.1°C to 1.2°C at 40.0°C, 50.0°C and 60.0°C. And the proposedmethod in this paper can improve the accuracy of temperature measurement ofRaman-based distributed temperature sensor better than the commonly usedwavelet transform-based method. The advantages of the proposed method inimproving the accuracy of temperature measurement for Raman-based distributedtemperature sensor are quantitatively reflected in the maximum deviation androot mean square error of temperature measurement results. Therefore, thispaper proposes an effective and feasible method to improve the accuracy oftemperature measurement results for Raman-based distributed temperature sensor.