2010
DOI: 10.3788/gzxb20103902.0243
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Optimization of Dynamic Matched Grating Filtering Demodulation Drived by Piezoelectric Ceramic

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Cited by 4 publications
(2 citation statements)
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“…Fiber Bragg grating (FBG) sensors have attracted increasing attention, because they provide considerable advantages over conventional electrical sensors. [1][2][3][4][5][6][7] Several FBG sensor interrogation methods-such as dynamic matched grating filtering, 8 Fabry-Perot filter method, 9,10 Mach-Zehnder modulator method, 11,12 tunable narrow-line width laser scanning, 13 and arrayed waveguide grating (AWG) interrogation- 14,15 have been proposed. Among these FBG sensor interrogation methods, the dynamic matched grating filtering method exhibits the simplest structure and the lowest accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Fiber Bragg grating (FBG) sensors have attracted increasing attention, because they provide considerable advantages over conventional electrical sensors. [1][2][3][4][5][6][7] Several FBG sensor interrogation methods-such as dynamic matched grating filtering, 8 Fabry-Perot filter method, 9,10 Mach-Zehnder modulator method, 11,12 tunable narrow-line width laser scanning, 13 and arrayed waveguide grating (AWG) interrogation- 14,15 have been proposed. Among these FBG sensor interrogation methods, the dynamic matched grating filtering method exhibits the simplest structure and the lowest accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…So an efficient and low-cost approach to interrogate LPFG sensing signal is earnestly needed to satisfy the request of the practical LPFG application. Several techniques could been considered to interrogate the LPFG sensing signal, such as Fabry-Perot (F-P) filter method and the intensity interrogation method based on change of optical intensity [4][5][6][7]. However these techniques have their disadvantage, such as the high cost and complicated fabrication of F-P filter, bad resolution of intensity interrogation method.…”
Section: Introductionmentioning
confidence: 99%