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Distributed Vibration Sensing Based on Optical Vector Network Analysis
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DOI：10.1109/JLT.2024.3487014.png)
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Abstract
En 中文
We introduce a novel method for distributed vibration sensing based on extracting the time-domain Rayleigh impulse response of an optical fiber from optical vector network analysis measurements. The optical-frequency-domain transfer function of the fiber is first measured, and then inverse Fourier transformed to provide the bandpass optical time-domain impulse response. Another relevant feature of the technique is that it enables excitation demodulation using the optical frequency dependence of the Rayleigh backscatter signal from the optical fiber, the so-called Rayleigh signature. This is the simplest method to obtain fully linear quantitative measurements of local changes in the strain or temperature experienced by the fiber and it is inherently free from signal fading impairments. Furthermore, the implementation of the technique uses a simple setup based on double-sideband modulation of a laser, self-homodyne detection with an optical hybrid, and narrow-bandwidth electrical signal acquisition and processing. We present proof-of-concept experiments to demonstrate the operation of the method with the measurement of dynamic strain and temperature perturbations in a 115-m optical sensing fiber with 16-cm spatial resolution and a sensitivity of 59 n epsilon /root Hz. This sensing technique has the potential to provide high-sensitivity distributed measurements of tens-of-hertz excitations in hundreds-of-meters fibers, with centimeter spatial resolution. Therefore, it can become a valuable tool for structural health monitoring in application fields such as aerospace, marine, or civil engineering.
Keywords:
Optical fibers
Optical fiber sensors
Optical variables measurement
Optical fiber networks
Optical reflection
Optical pulse compression
Optical mixing
Sensors
Radio frequency
Optical filters
Distributed acoustic sensing
distributed vibration sensing
distributed fiber-optic sensors
Journal
IF:
4.8
Papers:
1.7W
Citations:
3.8W
