Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107149
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dc.contributorPhotonics Research Centreen_US
dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorShen, Len_US
dc.creatorZhao, Zen_US
dc.creatorZhao, Cen_US
dc.creatorWu, Hen_US
dc.creatorLu, Cen_US
dc.creatorTang, Men_US
dc.date.accessioned2024-06-13T01:04:12Z-
dc.date.available2024-06-13T01:04:12Z-
dc.identifier.issn0733-8724en_US
dc.identifier.urihttp://hdl.handle.net/10397/107149-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication L. Shen, Z. Zhao, C. Zhao, H. Wu, C. Lu and M. Tang, "Improving the Spatial Resolution of a BOTDA Sensor Using Deconvolution Algorithm," in Journal of Lightwave Technology, vol. 39, no. 7, pp. 2215-2222, 1 April 2021 is available at https://doi.org/10.1109/JLT.2020.3047504.en_US
dc.subjectBrillouin scatteringen_US
dc.subjectDeconvolutionen_US
dc.subjectDistributed optical fiber sensorsen_US
dc.subjectSignal processingen_US
dc.titleImproving the spatial resolution of a BOTDA sensor using deconvolution algorithmen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2215en_US
dc.identifier.epage2222en_US
dc.identifier.volume39en_US
dc.identifier.issue7en_US
dc.identifier.doi10.1109/JLT.2020.3047504en_US
dcterms.abstractSpatial resolution improvement from an acquired measurement using long pulse is developed for Brillouin optical time domain analysis (BOTDA) systems based on the total variation deconvolution algorithm. The frequency dependency of Brillouin gain temporal envelope is investigated by simulation, and its impact on the recovered results of deconvolution algorithm is thoroughly analyzed. To implement a reliable deconvolution process, differential pulse-width pair (DPP) technique is utilized to effectively eliminate the systematic Brillouin frequency shift (BFS) distortion stemming from the frequency dependency of temporal envelope. The width of the pulse pairs should be larger than 40 ns as is analyzed theoretically and verified experimentally. It has been demonstrated that the proposed method can realize flexible adjustment of spatial resolution with enhanced signal-to-noise ratio (SNR) from an established measurement with long pump pulse. In the experiment, the spatial resolution is increased to 0.5 m and 1 m with high measurement accuracy by using the deconvolution algorithm from the measurement of 60/40 ns DPP signals. Compared with the raw DPP results with the same spatial resolution, 7.9 dB and 5.9 dB SNR improvements are obtained for 0.5 m and 1 m spatial resolution respectively, thanks to the denoising capability of the total variation deconvolution algorithm. The impact of sampling rate on the recovery results is also studied. The proposed sensing system allows for distortion-free Brillouin distributed sensing with higher spatial resolution and enhanced SNR from the conventional DPP setup with long pulse pairs.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of lightwave technology, 1 Apr. 2021, v. 39, no. 7, p. 2215-2222en_US
dcterms.isPartOfJournal of lightwave technologyen_US
dcterms.issued2021-04-01-
dc.identifier.scopus2-s2.0-85098763302-
dc.identifier.eissn1558-2213en_US
dc.description.validate202403 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEIE-0256-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key R&D Program of China; National Natural Science Foundation of China; Innovation Fund of WNLOen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS43301697-
dc.description.oaCategoryGreen (AAM)en_US
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