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dc.contributor.authorWang, Heen
dc.contributor.authorSun, Qizhenen
dc.contributor.authorLi, Xiaoleien
dc.contributor.authorWo, Jianghaien
dc.contributor.authorShum, Perry Pingen
dc.contributor.authorLiu, Demingen
dc.identifier.citationWang, H., Sun, Q., Li, X., Wo, J., Shum, P. P., & Liu, D. (2014). Improved location algorithm for multiple intrusions in distributed Sagnac fiber sensing system. Optics Express, 22(7), 7587-7597.en
dc.description.abstractAn improved algorithm named “twice-FFT” for multi-point intrusion location in distributed Sagnac sensing system is proposed and demonstrated. To find the null-frequencies more accurately and efficiently, a second FFT is applied to the frequency spectrum of the phase signal caused by intrusion. After Gaussian fitting and searching the peak response frequency in the twice-FFT curve, the intrusion position could be calculated out stably. Meanwhile, the twice-FFT algorithm could solve the problem of multi-point intrusion location. Based on the experiment with twice-FFT algorithm, the location error less than 100m for single intrusion is achieved at any position along the total length of 41km, and the locating ability for two or three intrusions occurring simultaneously is also demonstrated.en
dc.relation.ispartofseriesOptics expressen
dc.rights© 2014 Optical Society of America. This paper was published in Optics Express and is made available as an electronic reprint (preprint) with permission of Optical Society of America. The paper can be found at the following official DOI:  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.en
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleImproved location algorithm for multiple intrusions in distributed Sagnac fiber sensing systemen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.description.versionPublished versionen
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