Robust method for BOTDA sensing information extraction in the Fourier transform domain

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Robust method for BOTDA sensing information extraction in the Fourier transform domain
Title:
Robust method for BOTDA sensing information extraction in the Fourier transform domain
Journal Title:
Applied Optics
Publication Date:
24 April 2023
Citation:
Yang, Z., Zhang, P., Zhang, H., Dong, H., Hu, D. J. J., & Yu, K. (2023). Robust method for BOTDA sensing information extraction in the Fourier transform domain. Applied Optics, 62(13), 3338. https://doi.org/10.1364/ao.486951
Abstract:
Most of the existing schemes for extracting the Brillouin frequency shift (BFS) are based on the line shape of the Brillouin gain spectrum (BGS) curve. However, in some circumstances, such as in this paper, there is a cyclic shift in the BGS curve, causing difficulty in obtaining the BFS accurately with traditional methods. To solve this problem, we propose a method for extracting Brillouin optical time domain analyzer sensing information in the transform domain—the fast Fourier Lorentz curve fitting method. It shows better performance especially when the cyclic start frequency is near the BGS central frequency position or when the full width at half maximum is large. The results show that our method can obtain BGS parameters more accurately in most cases than the Lorenz curve fitting method.
License type:
Publisher Copyright
Funding Info:
Fundamental Research Funds for the Central Universities (021314380211); China Association for Science and Technology.
Description:
© 2023 Optica Publishing Group. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited.
ISSN:
2155-3165
1559-128X
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