Wavelet transform de-noising technology for distributed optical fiber sensor

YuanYuan Wang; Yuanhong Yang; Mingwei Yang; Tao Wang; Shuju Zhao

doi:10.1117/12.876190

9 November 2010 Wavelet transform de-noising technology for distributed optical fiber sensor

YuanYuan Wang, Yuanhong Yang, Mingwei Yang, Tao Wang, Shuju Zhao

Proceedings Volume 7853, Advanced Sensor Systems and Applications IV; 785340 (2010) https://doi.org/10.1117/12.876190
Event: Photonics Asia 2010, 2010, Beijing, China

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.

Citation Download Citation

YuanYuan Wang, Yuanhong Yang, Mingwei Yang, Tao Wang, and Shuju Zhao "Wavelet transform de-noising technology for distributed optical fiber sensor", Proc. SPIE 7853, Advanced Sensor Systems and Applications IV, 785340 (9 November 2010); https://doi.org/10.1117/12.876190

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