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Proceedings Paper

A comparative study for massive data compression in long-distance distributed optical fiber sensing systems
Author(s): Huijuan Wu; Jun Liu; Jiwei Xu; Linqiang Zhang; Hanyu Li; Weili Zhang; Yunjiang Rao
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Paper Abstract

With the growing demand for monitoring length and channel number of the fully distributed optical fiber sensors (DOFSs), the amount of sensing data is increasing rapidly, and there will be a heavy pressure for the massive data storage and transmission. In this paper, two lossless compression algorithms of Lempel-Ziv-Welch (LZW) and Huffman are comparatively studied to effectively compress the huge amount of data of typical DOFSs, e.g. Φ -OTDR, POTDR, and BOTDA systems. The comparison results show that the LZW based on dictionary has a better performance in the consuming time and compression ratio for the DOFS data.

Paper Details

Date Published: 1 July 2015
PDF: 4 pages
Proc. SPIE 9655, Fifth Asia-Pacific Optical Sensors Conference, 96553M (1 July 2015); doi: 10.1117/12.2184440
Show Author Affiliations
Huijuan Wu, Univ. of Electronic Science and Technology of China (China)
Jun Liu, Univ. of Electronic Science and Technology of China (China)
Jiwei Xu, Univ. of Electronic Science and Technology of China (China)
Linqiang Zhang, Univ. of Electronic Science and Technology of China (China)
Hanyu Li, Univ. of Electronic Science and Technology of China (China)
Weili Zhang, Univ. of Electronic Science and Technology of China (China)
Yunjiang Rao, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 9655:
Fifth Asia-Pacific Optical Sensors Conference
Byoungho Lee; Sang-Bae Lee; Yunjiang Rao, Editor(s)

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