Xia, Haiyun, Wang, Chao, Blais, S., Yao, Jianping (2010) Ultrafast and Precise Interrogation of Fiber Bragg Grating Sensor Based on Wavelength-to-Time Mapping Incorporating Higher Order Dispersion. Journal of Lightwave Technology, 28 (3). pp. 254-261. ISSN 0733-8724. (doi:10.1109/JLT.2009.2037722) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35719)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/JLT.2009.2037722 |
Abstract
An interrogation scheme based on wavelength-to-time mapping to achieve ultrafast, high-precision, and large dynamic range interrogation of fiber Bragg grating (FBG) sensors is proposed and experimentally demonstrated. The wave-length-to-time mapping, also called temporal self-imaging effect, is realized in the optical domain, using a dispersive element that has a large group velocity dispersion. For a practical dispersive element, higher order dispersions exist, which makes the wave-length-to-time mapping nonlinear. Thus, an interrogation system based on wavelength-to-time mapping without considering the high-order dispersion would reduce the interrogation accuracy. In this paper, for the first time to the best of our knowledge, a mathe-matical model that incorporates higher order dispersion to achieve an accurate wavelength-to-time mapping is developed, which is then verified by a numerical simulation. An FBG-based strain sensor interrogated based on the developed wavelength-to-time mapping scheme is experimentally investigated. The system has a sampling speed of 48.6 MHz, a dynamic range as large as 20 nm, and a sensing accuracy as high as 0.87 for a single-shot measurement. Index Terms—Femtosecond fiber laser, fiber Bragg grating (FBG), higher order dispersion, real-time dispersive Fourier transformation.
Item Type: | Article |
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DOI/Identification number: | 10.1109/JLT.2009.2037722 |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Tina Thompson |
Date Deposited: | 28 Oct 2013 15:06 UTC |
Last Modified: | 05 Nov 2024 10:19 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/35719 (The current URI for this page, for reference purposes) |
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