Performance comparison of various deconvolution algorithms realizing high spatial resolution Brillouin optical time domain reflectometer

Wencun Guo; Minghong Zhang; Haoting Wu; Junjie Qiu; Guolu Yin; Tao Zhu

doi:10.1117/12.3030726

3 June 2024 Performance comparison of various deconvolution algorithms realizing high spatial resolution Brillouin optical time domain reflectometer

Wencun Guo, Minghong Zhang, Haoting Wu, Junjie Qiu, Guolu Yin, Tao Zhu

Author Affiliations +

Proceedings Volume 13182, 2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024); 131822C (2024) https://doi.org/10.1117/12.3030726
Event: 2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024), 2024, Kunming, China

Abstract

Applying the image deconvolution algorithm to Brillouin optical time domain reflectometer (BOTDR) can enhance the spatial resolution. In this paper, the blurring effect of point spread function on Brillouin frequency shift of sensing fiber under different pump pulses is numerically simulated based on the two-dimensional convolution theory of BOTDR. The recovery effects of several classical image deconvolution techniques, including Wiener filtering, regularized filtering, Richardson- Lucy method and blind deconvolution, in improving the spatial resolution of BOTDR are experimentally compared. The experimental results show that all four filtering methods can improve the spatial resolution from 2.5 m to 20 cm. In this application, the Wiener filtering, regularized filtering, and the Richardson- Lucy method provide almost the same restoration, while the blind deconvolution method provides a poorer restoration.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wencun Guo, Minghong Zhang, Haoting Wu, Junjie Qiu, Guolu Yin, and Tao Zhu "Performance comparison of various deconvolution algorithms realizing high spatial resolution Brillouin optical time domain reflectometer", Proc. SPIE 13182, 2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024), 131822C (3 June 2024); https://doi.org/10.1117/12.3030726

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KEYWORDS

Tunable filters

Electronic filtering

Spatial resolution

Point spread functions

Blind deconvolution

Image filtering

Image deconvolution

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