Research on the blind source separation method of DAS signal based on the improvement of FastICA algorithm

TianXiong Li; FuDong Zhang; Jun Lin; XingYe Bai; HaoZhuang Liu

doi:10.1117/12.3008484

18 December 2023 Research on the blind source separation method of DAS signal based on the improvement of FastICA algorithm

TianXiong Li, FuDong Zhang, Jun Lin, XingYe Bai, HaoZhuang Liu

Author Affiliations +

Proceedings Volume 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics; 129631R (2023) https://doi.org/10.1117/12.3008484
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

Distributed optical fiber acoustic sensing system (DAS) can achieve real-time monitoring of vibration events along the optical fibers by demodulation of back Rayleigh scattered light information in optical fibers. DAS system has a long detection distance, low cost, high sensitivity and other characteristics, and has been playing an important role in various engineering applications. However, in practical engineering detection of DAS system, there are other vibration sound sources in the environment besides target vibration events. However, the number and type of environmental sound sources are usually unknown. This kind of uncertain multi-source interference will have a serious impact on the monitoring of target events.

Citation Download Citation

TianXiong Li, FuDong Zhang, Jun Lin, XingYe Bai, and HaoZhuang Liu "Research on the blind source separation method of DAS signal based on the improvement of FastICA algorithm", Proc. SPIE 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics, 129631R (18 December 2023); https://doi.org/10.1117/12.3008484

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