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Lee, D., Yoon, H., Kim, P., Park, J. and Park, N. (2006) Optimization of SNR Improvement in the Noncoherent OTDR Based on Simplex Codes. Journal of Lightwave Technology, 24, 322-328.
https://doi.org/10.1109/JLT.2005.859437

has been cited by the following article:

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

    AUTHORS: Xiang Wang, Tong Liu, Honghui Wang

    KEYWORDS: Raman-Based Distributed Temperature Sensor, Noise Reduction, Temperature Measurement

    JOURNAL NAME: Open Journal of Applied Sciences, Vol.9 No.8, August 15, 2019

    ABSTRACT: The accuracy of temperature measurement is often reduced due to random noise in Raman-based distributed temperature sensor (RDTS). A noise reduction method based on a nonlinear filter is thus proposed in this paper. Compared with the temperature demodulation results of raw signals, the proposed method in this paper can reduce the average maximum deviation of temperature measurement results from 4.1°C to 1.2°C at 40.0°C, 50.0°C and 60.0°C. And the proposed method in this paper can improve the accuracy of temperature measurement of Raman-based distributed temperature sensor better than the commonly used wavelet transform-based method. The advantages of the proposed method in improving the accuracy of temperature measurement for Raman-based distributed temperature sensor are quantitatively reflected in the maximum deviation and root mean square error of temperature measurement results. Therefore, this paper proposes an effective and feasible method to improve the accuracy of temperature measurement results for Raman-based distributed temperature sensor.