Application of wavelet transform modulus maxima in raman distributed temperature sensors

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• 作者：Zongliang Wang (1)
  Jun Chang (1)
  Sasa Zhang (1)
  Sha Luo (1)
  Cuanwu Jia (1)
  Boning Sun (1)
  Shuo Jiang (1)
  Yongning Liu (1)
  Xiaohui Liu (1)
  Guangping Lv (1)
  Zhi Liu (1)
  
• 关键词：Distributed temperature sensor ; Raman ; wavelet transform modulus maxima
• 刊名：Photonic Sensors
• 出版年：2014
• 出版时间：June 2014
• 年：2014
• 卷：4
• 期：2
• 页码：142-146
• 全文大小：609 KB
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  7. Z. Qin, L. Chen, and X. Bao, “Wavelet denoising method for improving detection performance of distributed vibration sensor,- / IEEE Photonics Technology Letters, 2012, 24(7): 542-44. CrossRef
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  9. B. Le, Z. Liu, and T. Gu, “Weak LFM signal dectection based on wavelet transform modulus maxima denoising and other techniques,- / International Journal of Wavelets, / Multiresolution and Information Processing, 2010, 8(2): 313-26.
  10. J. Liu, Y. Tao, and W. Zhang, “Modulus maximum and nonlinear threshold based wavelet-denoising method,- / Application Research of Computers, 2008, 25(10): 3134-135.
  
• 作者单位：Zongliang Wang (1)
  Jun Chang (1)
  Sasa Zhang (1)
  Sha Luo (1)
  Cuanwu Jia (1)
  Boning Sun (1)
  Shuo Jiang (1)
  Yongning Liu (1)
  Xiaohui Liu (1)
  Guangping Lv (1)
  Zhi Liu (1)
  
  1. School of Information Science and Engineering and Shandong Provincial Key Laboratory of Laser Technology and Application, Shandong University, Jinan, 250100, China
  
• ISSN：2190-7439

文摘

We proposed and demonstrated a wavelet transform modulus maxima (WTMM) de-noising method to decrease the temperature error. In this scheme, the composition scale was determined simply by the WTMM amplitude variation with the growth of the decomposition scale at 30 °C, and the signal WTMM was obtained by the wavelet decomposition modulus on every decomposition scale based on the modulus propagating difference between the signal and noise. Then, we reconstructed the signal using the signal WTMM. Experimental results show that the proposed method is effective for de-noising, allowing for a temperature error decrease of about 1 °C at 40 °C and 50 °C comparing to the original data.