Acta Optica Sinica (Online), Volume. 2, Issue 15, 1514004(2025)
BOTDR Weak Frequency Shift Position Identification Method Based on BFS Fluctuation Calculation
Figures & Tables(16)
Fig. 2. One-dimensional matrix simulation BFS. (a) No variation in temperature along the fiber; (b) temperature distribution along the optical fiber exhibits variations
Fig. 3. Frequency shift noise simulated by uniformly distributed one-dimension random line vectors
Fig. 4. Schematic diagrams of one-dimensional matrix simulation of actual BFS. (a) No variation in temperature along the fiber; (b) temperature distribution along the optical fiber exhibits variations
Fig. 5. Simulated BFS along the fiber in a relaxed state without temperature change
Fig. 7. Device diagram of BOTDR system based on short-time Fourier transform
Fig. 8. BFS distribution with different average times. (a) 50 times; (b) 100 times; (c) 500 times; (d) 1000 times; (e) 5000 times; (f) 5242 times
Fig. 9. BFS along the optical fiber. (a) No variation in temperature along the fiber; (b) first water bath heating; (c) second water bath heating; (d) third water bath heating
Fig. 10. Comparison between BFS along the temperature variable fiber and baseline BFS. (a) First water bath heating; (b) second water bath heating; (c) third water bath heating
Fig. 11. Difference between BFS along the temperature variable fiber and baseline BFS. (a) First water bath heating; (b) second water bath heating; (c) third water bath heating
Fig. 12. Slide sampling average comparison. (a) First water bath heating; (b) second water bath heating; (c) third water bath heating
Table 1. Comparison of sliding average values between normal temperature and temperature variation regions
View tableView in ArticleTable 1. Comparison of sliding average values between normal temperature and temperature variation regions
Point No. range 1‒63 64‒83 84‒141 Average 0.94 1.19 0.95 Difference from baseline -0.03 +0.22 -0.02 Difference from adjacent segments -0.05 +0.25 +0.06
Table 2. Partial performance of the system under different average times
View tableView in ArticleTable 2. Partial performance of the system under different average times
Average times Frequency shift accuracy /MHz Temperature accuracy /℃ Time /s 50 5.52 4.25 4.64 100 4.25 3.27 6.80 500 2.00 1.54 25.46 1000 1.55 1.19 47.40 5000 1.12 0.86 222.64 5242 1.09 0.84 232.70
Table 3. Data segmentation
View tableView in ArticleTable 3. Data segmentation
Segmentation 1 2 3 4 5 6 7 8 9 10 Start point 1 101 201 301 401 501 573 583 621 664 End point 100 200 300 400 500 572 582 620 663 732
Table 4. Analysis of sliding sampling average results
View tableView in ArticleTable 4. Analysis of sliding sampling average results
Item Mean frequency shift /MHz 1 2 3 4 5 6 7 8 9 10 Totality Base line 408.6 409.2 409.3 409.6 409.9 409.5 409.7 410.7 410.7 409.6 409.5 First heating 409.4 410.4 410.6 410.9 411.2 410.4 410.4 412.2 412.7 410.7 410.7 Second heating 410.1 410.6 410.7 411.1 411.6 411.3 411.3 412.6 413.1 411.2 411.1 Third heating 409.7 410.4 410.5 410.5 410.8 410.3 410.6 411.8 412.4 409.8 410.5 Mean deviation 1.1 1.3 1.3 1.2 1.3 1.2 1.1 1.5 2.0 1.0 1.3
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Haoran Gao, Xinyu Liu, Yongzheng Li, Linfeng Guo, Xiaomin Xu. BOTDR Weak Frequency Shift Position Identification Method Based on BFS Fluctuation Calculation[J]. Acta Optica Sinica (Online), 2025, 2(15): 1514004
Paper Information
Category: Applied Optics and Optical Instruments
Received: Jun. 24, 2025
Accepted: Jul. 9, 2025
Published Online: Aug. 7, 2025
The Author Email: Linfeng Guo (guolf_nj@163.com)
CSTR:32394.14.AOSOL250485
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