Improving measurement accuracy of fiber Bragg grating sensor using digital matched filter

C. C. Chan, J. M. Gong, Wei Jin, M. Zhang, Li Min Zhou, M. S. Demokan

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

4 Citations (Scopus)


Fiber Bragg grating (FBG) sensors are promising candidates for strain measurements in smart structures. The wavelength-encoded nature of the reflected signals from FBGs allows for absolute strain measurement and for multi-point operation based on wavelength division multiplexing (WDM). To measure strain variation with good accuracy, detection of the small shift in the Bragg wavelength is essential. In this paper, we report the use of a digital matched filter (DMF) for improving the wavelength detection accuracy. The DMF technique has been used extensively in image processing and pattern recognition for the detection of weak signals in a noisy environment. We apply it here for the detection of Bragg wavelength in FBG sensors when the SNR is low.
Original languageEnglish
Title of host publication2002 15th Optical Fiber Sensors Conference Technical Digest, OFS 2002
Number of pages4
ISBN (Electronic)0780372891, 9780780372894
Publication statusPublished - 1 Jan 2002
Event15th Optical Fiber Sensors Conference Technical Digest, OFS 2002 - Hilton Portland, Portland, United States
Duration: 6 May 200210 May 2002


Conference15th Optical Fiber Sensors Conference Technical Digest, OFS 2002
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this