Angelucci, S., Chen, Z. , Skvarenina, Ľ., Clark, A. W. , Vallés, A. and Lavery, M. P.J. (2024) Structured light enhanced machine learning for fiber bend sensing. Optics Express, 32(5), pp. 7882-7895. (doi: 10.1364/OE.513829)
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Abstract
The intricate optical distortions that occur when light interacts with complex media, such as few- or multi-mode optical fiber, often appear random in origin and are a fundamental source of error for communication and sensing systems. We propose the use of orbital angular momentum (OAM) feature extraction to mitigate phase-noise and allow for the use of intermodal-coupling as an effective tool for fiber sensing. OAM feature extraction is achieved by passive all-optical OAM demultiplexing, and we demonstrate fiber bend tracking with 94.1% accuracy. Conversely, an accuracy of only 14% was achieved for determining the same bend positions when using a convolutional-neural-network trained with intensity measurements of the output of the fiber. Further, OAM feature extraction used 120 times less information for training compared to intensity image based measurements. This work indicates that structured light enhanced machine learning could be used in a wide range of future sensing technologies.
| Item Type: | Articles |
|---|---|
| Additional Information: | The work was supported by the Horizon 2020 Future and Emerging Technologies Open grant agreement "Super-pixels" No. 829116, the EPSRC (grant numbers EPSRC EP/T009047/1, EP/T517896/1, and EP/V030515/1), the BBSRC (grant numbers BB/T000627/1 and BB/N016734/1), The Leverhulme Trust (grant number. RPG-2018-149), Grant CEX2019-000910-S funded by MCIN /AEI/ 10.13039/ 501100011033, Fundació Cellex, Fundació Mir-Puig, Generalitat de Catalunya through CERCA. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Lavery, Professor Martin and Chen, Dr Zhaozhong and Clark, Professor Alasdair and Skvarenina, Dr Lubomir and Angelucci, Sara |
| Authors: | Angelucci, S., Chen, Z., Skvarenina, Ľ., Clark, A. W., Vallés, A., and Lavery, M. P.J. |
| College/School: | College of Science and Engineering College of Science and Engineering > School of Engineering > Biomedical Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| Journal Name: | Optics Express |
| Publisher: | Optical Society of America |
| ISSN: | 1094-4087 |
| ISSN (Online): | 1094-4087 |
| Published Online: | 08 February 2024 |
| Copyright Holders: | Copyright © 2024 The Authors |
| First Published: | First published in Optics Express 32(5):7882-7895 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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