Branching Interferometric Distributed Fiber Optic Vibration Sensor Insensitive to Dual-Fiber Phase-Shift Difference

The branching interferometric distributed fiber optic vibration sensor (IDFOVS) attracts attention for its capability to monitor regions with intricate geometries. However, the localization accuracy of existing branching IDFOVS will deteriorate if affected by dual-fiber phase-shift difference (DFPSD). This article introduces an improved branching IDFOVS with insensitivity to DFPSD. The insensitivity is achieved through a modified optical path configuration, wherein conjugated wavelength components (CWCs) traverse the two sensing fibers within a branch path in reverse sequences. The effect of DFPSD is eliminated by summing the demodulation signals of each CWC pair and the sum signals generated are employed to localize disturbances by time-delay estimation. The experimental results demonstrate that the localization errors are within ±40 m over a sensing fiber of 50 km. Furthermore, the superiority of the proposed sensor, attributed to its insensitivity to DFPSD, is confirmed through comparative analysis with a previously reported sensor. Given that the sensing optical cables utilized in engineering may not inherently have a low DFPSD level, the sensor proposed in this article has potential for practical application.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-03-31
DOI
https://doi.org/10.1109/jsen.2025.3551893
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Branching Interferometric Distributed Fiber Optic Vibration Sensor Insensitive to Dual-Fiber Phase-Shift Difference

Bo Jia, Zhongzheng Yuan, Yixiao Ma, Qian Xiao et al.
IEEE Sensors Journal
Advanced Fiber Optic Sensors
article

Branching Interferometric Distributed Fiber Optic Vibration Sensor Insensitive to Dual-Fiber Phase-Shift Difference

Bo Jia, Zhongzheng Yuan, Yixiao Ma, Qian Xiao, Kaiyuan Wang
article en

Abstract

The branching interferometric distributed fiber optic vibration sensor (IDFOVS) attracts attention for its capability to monitor regions with intricate geometries. However, the localization accuracy of existing branching IDFOVS will deteriorate if affected by dual-fiber phase-shift difference (DFPSD). This article introduces an improved branching IDFOVS with insensitivity to DFPSD. The insensitivity is achieved through a modified optical path configuration, wherein conjugated wavelength components (CWCs) traverse the two sensing fibers within a branch path in reverse sequences. The effect of DFPSD is eliminated by summing the demodulation signals of each CWC pair and the sum signals generated are employed to localize disturbances by time-delay estimation. The experimental results demonstrate that the localization errors are within ±40 m over a sensing fiber of 50 km. Furthermore, the superiority of the proposed sensor, attributed to its insensitivity to DFPSD, is confirmed through comparative analysis with a previously reported sensor. Given that the sensing optical cables utilized in engineering may not inherently have a low DFPSD level, the sensor proposed in this article has potential for practical application.

IEEE Sensors JournalVol. 25(9)
Fudan University (CN)
Affordable and clean energy
Openalex Percentile: Top 95%
Advanced Fiber Optic Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Branching Interferometric Distributed Fiber Optic Vibration Sensor Insensitive to Dual-Fiber Phase-Shift Difference — Bo Jia, Zhongzheng Yuan, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS