Fast Brillouin optical time-domain analysis using compressed sensing

Qi Chu; Benzhang Wang; Henan Wang; Dexin Ba; Yongkang Dong

doi:10.1117/12.2585297

Fast Brillouin optical time-domain analysis using compressed sensing

Qi Chu, Benzhang Wang, Henan Wang, Dexin Ba, Yongkang Dong

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In view of the limitations of the traditional Brillouin optical time domain analysis (BOTDA) system such as low sampling rate, large transmission and storage space, a fast BOTDA scheme based on compressed sensing technology has been proposed to realize the random frequency sampling of Brillouin gain spectrum (BGS). The proposed scheme uses a data-adaptive sparse base obtained by the principle component analysis algorithm to realize the sparse representation of Brillouin spectrum. Then, it can be reconstructed successfully with orthogonal matching-pursuit algorithm. Compared with the traditional uniform spectrum sampling with a step size of 4 MHz, the proposed compressed sampling scheme can recover the BGS using 30% of the frequency. With fewer sampling frequencies, compressed sensing technology can improve the sensing performance of traditional fast BOTDA, including increasing the sampling rate by 3.3 times and reducing the amount of data storage by 70%.

Original language	English
Title of host publication	Optics Frontiers Online 2020
Subtitle of host publication	Distributed Optical Fiber Sensing Technology and Applications
Editors	Jiaqi Yan
Publisher	SPIE
ISBN (Electronic)	9781510640443
DOIs	https://doi.org/10.1117/12.2585297
State	Published - 2021
Externally published	Yes
Event	Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications - Virtual, Online, China Duration: 28 Aug 2020 → 29 Aug 2020

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11607
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications
Country/Territory	China
City	Virtual, Online
Period	28/08/20 → 29/08/20

Bibliographical note

Publisher Copyright:
© 2020 SPIE.

Keywords

Brillouin optical time domain analysis
Compressed sensing
Principle component analysis
Random frequency sampling

Access to Document

10.1117/12.2585297

Cite this

Chu, Q., Wang, B., Wang, H., Ba, D., & Dong, Y. (2021). Fast Brillouin optical time-domain analysis using compressed sensing. In J. Yan (Ed.), Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications Article 116070B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11607). SPIE. https://doi.org/10.1117/12.2585297

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title = "Fast Brillouin optical time-domain analysis using compressed sensing",

abstract = "In view of the limitations of the traditional Brillouin optical time domain analysis (BOTDA) system such as low sampling rate, large transmission and storage space, a fast BOTDA scheme based on compressed sensing technology has been proposed to realize the random frequency sampling of Brillouin gain spectrum (BGS). The proposed scheme uses a data-adaptive sparse base obtained by the principle component analysis algorithm to realize the sparse representation of Brillouin spectrum. Then, it can be reconstructed successfully with orthogonal matching-pursuit algorithm. Compared with the traditional uniform spectrum sampling with a step size of 4 MHz, the proposed compressed sampling scheme can recover the BGS using 30% of the frequency. With fewer sampling frequencies, compressed sensing technology can improve the sensing performance of traditional fast BOTDA, including increasing the sampling rate by 3.3 times and reducing the amount of data storage by 70%.",

keywords = "Brillouin optical time domain analysis, Compressed sensing, Principle component analysis, Random frequency sampling",

author = "Qi Chu and Benzhang Wang and Henan Wang and Dexin Ba and Yongkang Dong",

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year = "2021",

doi = "10.1117/12.2585297",

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series = "Proceedings of SPIE - The International Society for Optical Engineering",

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Chu, Q, Wang, B, Wang, H, Ba, D & Dong, Y 2021, Fast Brillouin optical time-domain analysis using compressed sensing. in J Yan (ed.), Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications., 116070B, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11607, SPIE, Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications, Virtual, Online, China, 28/08/20. https://doi.org/10.1117/12.2585297

Fast Brillouin optical time-domain analysis using compressed sensing. / Chu, Qi; Wang, Benzhang; Wang, Henan et al.
Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications. ed. / Jiaqi Yan. SPIE, 2021. 116070B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11607).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2021

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N2 - In view of the limitations of the traditional Brillouin optical time domain analysis (BOTDA) system such as low sampling rate, large transmission and storage space, a fast BOTDA scheme based on compressed sensing technology has been proposed to realize the random frequency sampling of Brillouin gain spectrum (BGS). The proposed scheme uses a data-adaptive sparse base obtained by the principle component analysis algorithm to realize the sparse representation of Brillouin spectrum. Then, it can be reconstructed successfully with orthogonal matching-pursuit algorithm. Compared with the traditional uniform spectrum sampling with a step size of 4 MHz, the proposed compressed sampling scheme can recover the BGS using 30% of the frequency. With fewer sampling frequencies, compressed sensing technology can improve the sensing performance of traditional fast BOTDA, including increasing the sampling rate by 3.3 times and reducing the amount of data storage by 70%.

AB - In view of the limitations of the traditional Brillouin optical time domain analysis (BOTDA) system such as low sampling rate, large transmission and storage space, a fast BOTDA scheme based on compressed sensing technology has been proposed to realize the random frequency sampling of Brillouin gain spectrum (BGS). The proposed scheme uses a data-adaptive sparse base obtained by the principle component analysis algorithm to realize the sparse representation of Brillouin spectrum. Then, it can be reconstructed successfully with orthogonal matching-pursuit algorithm. Compared with the traditional uniform spectrum sampling with a step size of 4 MHz, the proposed compressed sampling scheme can recover the BGS using 30% of the frequency. With fewer sampling frequencies, compressed sensing technology can improve the sensing performance of traditional fast BOTDA, including increasing the sampling rate by 3.3 times and reducing the amount of data storage by 70%.

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Fast Brillouin optical time-domain analysis using compressed sensing

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