Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Measurement accuracy improvement of Brillouin signal using wavelet denoising method

[+] Author Affiliations
Jianping He

Harbin Institute of Technology (China)

Zhi Zhou

Harbin Institute of Technology (China) and Missouri Univ. of Science and Technology (USA)

Genda Chen

Missouri Univ. of Science and Technology (USA)

Jinping Ou

Harbin Institute of Technology (China) and Dalian Univ. of Technology (China)

Proc. SPIE 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009, 72930B (April 08, 2009); doi:10.1117/12.816688
Text Size: A A A
From Conference Volume 7293

  • Smart Sensor Phenomena, Technology, Networks, and Systems 2009
  • Norbert G. Meyendorf; Kara J. Peters; Wolfgang Ecke
  • San Diego, California, USA | March 08, 2009

abstract

The signals measured from the Brillouin Optical Time Domain Analysis (BOTDR), distributed optical fiber sensing system is generally prone to contamination by environmental factors, which may degrade the measurement accuracy in field applications, a suitable method of correcting this degradation is desired. In this paper, the wavelet signal processing method is presented to filter out the noise in measured signals and validated with the strain data taken from a smart BOTDA-based cable. The results show that this method can effectively denoise the information of the measured strain of the smart cable and improve the precision of the cable force. The maximum error between the control cable force and the average cable force are 8.8% and 5.1%, respectively, prior to and after noise filtering. This comparison shows that the wavelet denoising method is suitable for the measured signal obtained from the Brillouin optical sensing system.

© (2009) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Jianping He ; Zhi Zhou ; Genda Chen and Jinping Ou
"Measurement accuracy improvement of Brillouin signal using wavelet denoising method", Proc. SPIE 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009, 72930B (April 08, 2009); doi:10.1117/12.816688; http://dx.doi.org/10.1117/12.816688


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.