Fast and robust post-processing algorithm for STFT-BOTDR

We propose a post-processing algorithm for estimating the Brillouin frequency shift (BFS) to meet the high-performance demands of Short-Time Fourier Transform-based Brillouin Optical Time Domain Reflectometry (STFT-BOTDR). The methodology integrates few-point STFT, post-interpolation, and fitting window correction techniques, achieving simultaneously a high accuracy, a high precision, and a rapid processing time.

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Publication Details

Published
2025-05-22
DOI
https://doi.org/10.1117/12.3062840
Citations
1
Primary Topic
Image and Object Detection Techniques
Type
article
Field-Weighted Citation Impact
1.28
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article

Fast and robust post-processing algorithm for STFT-BOTDR

Zhisheng Yang, Xiaobin Hong, Qing Wang, Yifeng Lu et al.
1 citations
Image and Object Detection Techniques
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article

Fast and robust post-processing algorithm for STFT-BOTDR

Zhisheng Yang, Xiaobin Hong, Qing Wang, Yifeng Lu, Shen Jin, Jian Wu
article en
1 citations

Abstract

We propose a post-processing algorithm for estimating the Brillouin frequency shift (BFS) to meet the high-performance demands of Short-Time Fourier Transform-based Brillouin Optical Time Domain Reflectometry (STFT-BOTDR). The methodology integrates few-point STFT, post-interpolation, and fitting window correction techniques, achieving simultaneously a high accuracy, a high precision, and a rapid processing time.

Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 20%
Image and Object Detection Techniques
1.28
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