Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8912
Title: Improving measurement accuracy of fiber Bragg grating sensor using digital matched filter
Authors: Chan, CC
Gong, JM
Jin, W 
Zhang, M
Zhou, LM 
Demokan, MS
Keywords: Bragg gratings
Digital filters
Fibre optic sensors
Matched filters
Noise
Optical fibre testing
Optical signal detection
Strain sensors
Issue Date: 2002
Publisher: IEEE
Source: Ofs 2002 : 2002, 15th Optical Fiber Sensors Conference, technical digest : 6-10 May 2002, Hilton Portland, Portland, OR, USA, v. 1, p. 183-186 How to cite?
Abstract: 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.
URI: http://hdl.handle.net/10397/8912
ISBN: 0-7803-7289-1
DOI: 10.1109/OFS.2002.1000532
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