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Proceedings Paper

Wavelet transform de-noising technology for distributed optical fiber sensor
Author(s): YuanYuan Wang; Yuanhong Yang; Mingwei Yang; Tao Wang; Shuju Zhao
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Paper Abstract

The temperature or/and strain measurement accuracy, resolution and response of distributed optical fiber sensors based on Rayleigh, Raman and Brillouin scattering are mainly limited by their weak signals and low signal-noise ratio (SNR). To improve the SNR and response characteristic simultaneity, the wavelet transform de-noising technology was introduced to distributed optical fiber sensor system. The mother wavelet and the processing of thresholds were optimized in order to get better SNR and minimize the impact to signal response. A Raman scattering distributed optical fiber sensing experimental system was set and the signal process arithmetic was realized. Experimental tests indicate that wavelet de-noising method can notably improve SNR and guarantee the spatial resolution simultaneously. Final contrast tests suggest that not only the temperature resolution was improved by more than 50%, but also the measurement accuracy and period were improved greatly.

Paper Details

Date Published: 9 November 2010
PDF: 6 pages
Proc. SPIE 7853, Advanced Sensor Systems and Applications IV, 785340 (9 November 2010); doi: 10.1117/12.876190
Show Author Affiliations
YuanYuan Wang, BeiHang Univ. (China)
Yuanhong Yang, BeiHang Univ. (China)
Mingwei Yang, BeiHang Univ. (China)
Tao Wang, BeiHang Univ. (China)
Shuju Zhao, Vocation and Technique Education Ctr. of Sanhe County (China)


Published in SPIE Proceedings Vol. 7853:
Advanced Sensor Systems and Applications IV
Brian Culshaw; Yanbiao Liao; Anbo Wang; Xiaoyi Bao; Xudong Fan; Lin Zhang, Editor(s)

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