Application of segmentation threshold method and wavelet threshold denoising based on EMD in Φ-OTDR system

Fu Ma; Xiaxiao Wang; Xin Liu; Jia Yu; Tingting Wang; Wenxia Zhang

doi:10.1117/12.2505905

15 November 2018 Application of segmentation threshold method and wavelet threshold denoising based on EMD in Φ-OTDR system

Fu Ma, Xiaxiao Wang, Xin Liu, Jia Yu, Tingting Wang, Wenxia Zhang

Author Affiliations +

Proceedings Volume 10964, Tenth International Conference on Information Optics and Photonics; 1096435 (2018) https://doi.org/10.1117/12.2505905
Event: Tenth International Conference on Information Optics and Photonics (CIOP 2018), 2018, Beijing, China

Abstract

The sensing distance of the traditional phase-sensitive optical time domain reflectometry (Φ-OTDR) distributed optical fiber disturbance sensing system can only reach about 26 km. In order to increase the sensing distance without introducing the new technology and increasing the system cost, a method of processing the data by segmenting thresholds was proposed to increase the system sensing distance to 53.6 km. The locating accuracy is up to 20 m. Considering the impact of noise signal on the system's false alarm problem, a wavelet threshold denoising method based on empirical mode decomposition (EMD) is proposed. Experimental tests show that the method can significantly reduce the noise in the scattering signal and improve the alarm performance of the system.

Citation Download Citation

Fu Ma, Xiaxiao Wang, Xin Liu, Jia Yu, Tingting Wang, and Wenxia Zhang "Application of segmentation threshold method and wavelet threshold denoising based on EMD in Φ-OTDR system", Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 1096435 (15 November 2018); https://doi.org/10.1117/12.2505905

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