TY - GEN
T1 - Fast Brillouin optical time-domain analysis using compressed sensing
AU - Chu, Qi
AU - Wang, Benzhang
AU - Wang, Henan
AU - Ba, Dexin
AU - Dong, Yongkang
N1 - Publisher Copyright:
© 2020 SPIE.
PY - 2021
Y1 - 2021
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%.
KW - Brillouin optical time domain analysis
KW - Compressed sensing
KW - Principle component analysis
KW - Random frequency sampling
UR - https://www.scopus.com/pages/publications/85099458912
U2 - 10.1117/12.2585297
DO - 10.1117/12.2585297
M3 - 会议稿件
AN - SCOPUS:85099458912
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics Frontiers Online 2020
A2 - Yan, Jiaqi
PB - SPIE
T2 - Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications
Y2 - 28 August 2020 through 29 August 2020
ER -