Multimode Microstructured Optical Fiber Hydrophone
Date
2024
Authors
Zhang, W.Q.
Nguyen, L.V.
Reja, M.I.
Lancaster, D.G.
Warren-Smith, S.C.
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Journal article
Citation
IEEE Sensors Journal, 2024; 24(5):6251-6256
Statement of Responsibility
Wen Qi Zhang, Linh Viet Nguyen, Mohammad Istiaque Reja, David G. Lancaster, and Stephen C. Warren-Smith
Conference Name
Abstract
We demonstrate a fiber-optic hydrophone using a multimode microstructured pressure-sensitive optical fiber, which has a sensitivity comparable to a commercial electric hydrophone and 14–17 dB improvement over conventional single-mode and multimode optical fiber. We then configure the pressure-sensitive fiber (PSF) with a multifiber fan-out output where each output channel encodes different coupling from the PSF’s modal interference pairs. Thus, each channel has a different response to both the acoustic wave and environmental noise. We use a neural network model as the signal processing module to combine the acoustic signals from the multiple fiber channels to reconstruct the original signal. By combining the channels, the neural network model can effectively reduce crosstalk from environmental noise. We then demonstrate the ability to reconstruct complex audio signals using several classical music symphonies.
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© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.