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http://hdl.handle.net/10397/95540
Title: | Accelerated fast BOTDA assisted by compressed sensing and image denoising | Authors: | Zheng, H Yan, Y Zhao, Z Zhu, T Zhang, J Guo, N Lu, C |
Issue Date: | 15-Nov-2021 | Source: | IEEE sensors journal, 15 Nov. 2021, v. 21, no. 22, p. 25723-25729 | Abstract: | We propose and experimentally demonstrate a scheme for accelerated fast BOTDA. The effect of signal-to-noise ratio (SNR) on recovery performance of compressed sensing is simulated and analyzed, it is found that a reduction in SNR requires much larger frequency data to recover the original Brillouin gain spectrum (BGS). To enable a high recovery probability, Block-Matching and 3D filtering (BM3D) algorithm is employed to enhance the SNR of Brillouin time trace and reduce the number of averages. Combining with a principal component analysis (PCA) based compressed sensing technique, the Brillouin gain spectrum (BGS) can be successfully reconstructed from only 37.5% frequency data. In the experiment, 75 randomly selected frequency data is acquired to reconstruct the BGS. Distributed strain sensing is achieved over 15 km single-mode fiber with 3 m spatial resolution and 0.52 MHz Brillouin frequency shift (BFS) uncertainty. Due to the accelerated process, the measurement time with 40 averages is less than 0.5 s. | Keywords: | Brillouin optical time-domain analysis (BOTDA) Compressed sensing Ultra-fast measurement |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE sensors journal | ISSN: | 1530-437X | DOI: | 10.1109/JSEN.2021.3117287 | Rights: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication H. Zheng et al., "Accelerated Fast BOTDA Assisted by Compressed Sensing and Image Denoising," in IEEE Sensors Journal, vol. 21, no. 22, pp. 25723-25729, 15 Nov.15, 2021 is available at https://doi.org/10.1109/JSEN.2021.3117287 |
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Zheng_Accelerated_Fast_Botda.pdf | Pre-Published version | 2.13 MB | Adobe PDF | View/Open |
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