Ultrafast Temperature Extraction Using Support Vector Machine Based Data Classifier for BOTDA Sensors

Liang Wang, Huan Wu, Nan Guo, Chester Shu, Chao Lu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

SVM has been successfully employed in BOTDA system to extract temperature information along fiber. It shows good robustness to a wide range of experiment parameters and its processing speed is 100 times faster than that of conventional Lorentzian fitting technique.
Original languageEnglish
Title of host publication43rd European Conference on Optical Communication, ECOC 2017
PublisherIEEE
Pages1-3
Number of pages3
Volume2017-September
ISBN (Electronic)9781538656242
DOIs
Publication statusPublished - 21 Sep 2017
Event43rd European Conference on Optical Communication, ECOC 2017 - Gothenburg, Sweden
Duration: 17 Sep 201721 Sep 2017

Conference

Conference43rd European Conference on Optical Communication, ECOC 2017
Country/TerritorySweden
CityGothenburg
Period17/09/1721/09/17

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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