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Research on noise reduction method of RDTS using D-SVD

机译：基于D-SVD的RDTS降噪方法研究

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摘要

Focusing on the problem of increasing the deviation of temperature measurement for Raman-based distributed temperature sensor (RDTS) caused by random noise, a method of applying dichotomize singular value decomposition (D-SVD) to noise reduction for RDTS is proposed, and a method for determining the number of D-SVD iterations by the result's quality coefficient (RQC) is proposed to obtain effective denoised signals, thereby reducing the deviation of temperature measurement. Experiments were carried out at 45.2 degrees C, 50.0 degrees C, 55.0 degrees C, and 60.0 degrees C. Compared with the results obtained by direct demodulation of the observed signals, the maximum deviation (MD) of the temperature obtained by D-SVD noise reduction is reduced by 1.59 degrees C and 2.49 degrees C, 1.22 degrees C, and 0.87 degrees C, respectively. The root means square error (RMSE) is reduced by 0.79, 0.95, 0.67, and 0.40, respectively. And the smoothness of the temperature curve is significantly improved. At the same time, compared with the results obtained by wavelet transform by hard threshold function (WT-Hard) method and wavelet transform by soft threshold function (WT-Soft) method, the proposed method is better in these three indicators. Therefore, the proposed method can provide an available method for improving the performance of RDTS by using data processing methods.
机译：针对随机噪声引起的基于拉曼的分布式温度传感器（RDTS）的温度测量偏差增大的问题，提出了将二分奇异值分解（D-SVD）应用于RDTS降噪的方法，以及一种方法提出了一种通过结果的质量系数（RQC）确定D-SVD迭代次数的方法，以获得有效的去噪信号，从而减少温度测量的偏差。实验是在45.2摄氏度，50.0摄氏度，55.0摄氏度和60.0摄氏度下进行的。与通过直接解调观测信号获得的结果相比，由D-SVD噪声获得的温度的最大偏差（MD）降低分别降低了1.59摄氏度和2.49摄氏度，1.22摄氏度和0.87摄氏度。均方根误差（RMSE）分别降低了0.79、0.95、0.67和0.40。并且温度曲线的平滑度显着提高。同时，与通过硬阈值函数的小波变换（WT-Hard）和通过软阈值函数的小波变换（WT-Soft）获得的结果相比，所提出的方法在这三个指标上效果更好。因此，提出的方法可以提供一种通过使用数据处理方法来改善RDTS性能的可用方法。

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  • 来源
    《Optical fiber technology》 |2019年第3期|151-158|共8页
  • 作者

    Wang Honghui; Wang Xiang; Cheng Yi; Tuo Xianguo;

  • 作者单位

    Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, 1 Dongsanlu, Chengdu 610059, Sichuan, Peoples R China|Chengdu Univ Technol, Coll Nucl Technol & Automat Engn, Chengdu 610059, Sichuan, Peoples R China|Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA;

    Chengdu Univ Technol, Coll Nucl Technol & Automat Engn, Chengdu 610059, Sichuan, Peoples R China;

    Chengdu Univ Technol, Coll Nucl Technol & Automat Engn, Chengdu 610059, Sichuan, Peoples R China;

    Chengdu Univ Technol, Coll Nucl Technol & Automat Engn, Chengdu 610059, Sichuan, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Singular value decomposition; Distributed temperature sensor; Raman backscattering; Noise reduction;

    机译：奇异值分解;分布式温度传感器;拉曼反向散射;降噪;

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