Journal
OPTICS LETTERS
Volume 45, Issue 7, Pages 1726-1729Publisher
OPTICAL SOC AMER
DOI: 10.1364/OL.386218
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Funding
- Fraunhofer Heinrich Hertz Institute
- University of Chinese Academy of Sciences
- Shanghai Institute of Optics and FineMechanics, ChineseAcademy of Sciences
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Cladding waveguide fiber Bragg gratings (FBGs) provide a compact and simple solution for fiber shape sensing. The shape sensing accuracy is limited by birefringence, which is induced by bending and the non-isotropic FBG structure (written by femtosecond laser point-by-point technique). An algorithm based on an artificial neural network for fiber shape sensing is demonstrated, which enables increased accuracy, better robustness, and less time latency. This algorithm shows great potential in the application of highaccuracy real-time fiber shape measurements. (C) 2020 Optical Society of America
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