A De-Noising Algorithm Based on EEMD in Raman-Based Distributed Temperature Sensor

被引：30

作者：

Pan, Liang ^{[1
]}

Liu, Kun ^{[1
]}

Jiang, Junfeng ^{[1
]}

Ma, Chunyu ^{[1
]}

Tian, Miao ^{[1
]}

Liu, Tiegen ^{[1
]}

机构：

[1] Tianjin Univ, Coll Precis Instrument & Optoelect Engn, Tianjin 300072, Peoples R China

来源：

IEEE SENSORS JOURNAL | 2017年 / 17卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Raman; distributed temperature sensor; ensemble empirical mode decomposition; de-noising; EMPIRICAL MODE DECOMPOSITION; WAVELET TRANSFORM; DENOISING METHOD; SPECTRUM;

D O I：

10.1109/JSEN.2016.2623860

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A de-noising algorithm based on ensemble empirical mode decomposition (EEMD) method is employed in this paper for Raman-based distributed temperature sensor (RDTS). We first decompose the noisy signal using the EEMD and find local maxima on each intrinsic mode function (IMF) whose zero contour line is used to determine noise interval. The signal is then de-noised and reconstructed by removing the noise components of each IMF. The experimental results demonstrated that the proposed de-noising algorithm can enhance the signal-to-noise ratio by 8.8 dB while maintaining spatial resolution. The temperature error reduction of 3.2 degrees C can be achieved at 10 km using conventional RDTS without losing any detail.

引用

页码：134 / 138

页数：5

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