Laser & Optoelectronics Progress, Volume. 61, Issue 13, 1300004(2024)
Progress on Improving Spatial Resolution of Brillouin Optical Time Domain Reflectometer Using Signal Processing Technology
Fig. 2. Fitting method based on equivalent optical pulse[15]. (a) Rectangular optical pulse with duration τ; (b) schematic generation of backscattered Brillouin signal with a duration of τ′; (c) equivalent optical pulse when τ≥τ′; (d) equivalent optical pulse when τ≤τ′
Fig. 3. Probe pulse and Brillouin signal in the fiber (shaded segment represents fiber which generates the Brillouin signal)[16]
Fig. 4. Generation of the EDD (shaded segment represents fiber which generates the Brillouin signal)[16]
Fig. 5. Pulse subdivision superposition principle for backscattering spectrum[17]
Fig. 6. Pulse subdivision analysis method[18]. (a) Pumping pulse and resulting Brillouin signal in optical fiber; (b) dividing the pump pulse into m sub-pulses and then subdividing the Brillouin spectrum into m sub-spectra using the energy weights of subdivided sub-pulses
Fig. 7. Brillouin gain spectrum superposition process (black indicates the temperature/strain change area)[19]. (a) Head of the probe pulse generates a sub-Brillouin signal in the (m-1)th section; (b)‒(e) generation and superposition processes of the sub-Brillouin signal of each segment for each L/m long distance of the probe pulse propagation, respectively
Fig. 8. Process of the Brillouin scattering information weights contained in the DFT transform unit changed by the 4th-order HSCW[22]
Fig. 9. Original BGS distribution without applying Wiener filtering, and those after applying the filtering[23]. (a) Original measured BGS distribution using 40 ns pulses, and Wiener filtering recovered BGS distributions to retrieve; (b) 1 m spatial resolution; (c) 0.5 m spatial resolution; (d) 0.2 m spatial resolution; (e) 0.1 m spatial resolution
Fig. 11. Frequency spectra constructed by equal division FFT[24]. (a) Frequency spectra by FFT processing of 0‒1250 m and 1250‒2500 m time domain signals; (b) frequency spectra by FFT processing of 1563‒1719 m and 1719‒1875 m time domain signals; (c) frequency spectra by FFT processing of 1641‒1680 m and 1680‒1719 m time domain signals; (d) frequency spectra by FFT processing of 1719‒1758 m and 1758‒1797 m time domain signals
Fig. 12. Brillouin frequency shift distribution at different conditions[24]. (a) Traditional peak searching algorithm & 40 ℃ optical fiber; (b) traditional peak searching algorithm & 50 ℃ optical fiber; (c) maximum seeking method & 40 ℃ optical fiber; (d) maximum seeking method & 50 ℃ optical fiber
|
Get Citation
Copy Citation Text
Xinyu Liu, Liping Chen, Yuming Chen, Yongzheng Li, Linlin Fu, Dingyi Ma, Haoran Gao, Qiuming Huang, Yingkai Chen, Linfeng Guo. Progress on Improving Spatial Resolution of Brillouin Optical Time Domain Reflectometer Using Signal Processing Technology[J]. Laser & Optoelectronics Progress, 2024, 61(13): 1300004
Category: Reviews
Received: Aug. 28, 2023
Accepted: Oct. 17, 2023
Published Online: Jul. 17, 2024
The Author Email: Yongzheng Li (liyongzhengzt@163.com), Linfeng Guo (guolf_nj@163.com)
CSTR:32186.14.LOP231982