Simulation and hardware implementation of demodulation for fiber optic seismic sensor with linear edge filtering method

Zhou, Rui; Gao, Hong; Feng, Zhouming; Qiao, Xueguang

doi:10.1016/j.yofte.2020.102384

Cited by 7 publications

(1 citation statement)

References 30 publications

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“…Problems with data processing are also encountered using optical sensor systems. Algorithms have been developed that can increase the signal-to-noise ratio [ 2 , 3 ], filter signals [ 4 , 5 ], or amplify signals [ 6 ]. A threshold is then used mainly to determine the increase in the vibration intensity, which is suitable only for a certain type of event that occurs close to the optical fiber.…”

Section: Introductionmentioning

confidence: 99%

Classification of Events Violating the Safety of Physical Layers in Fiber-Optic Network Infrastructures

Ruzicka

Jabloncik

Dejdar

et al. 2022

Sensors

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Fiber-optic network infrastructures are crucial for the transmission of data over long and short distances. Fiber optics are also preferred for the infrastructure of in-building data communications. In this study, we use polarization analysis to ensure the security of the optical fiber/cables of the physical layer. This method exploits the changes induced by mechanical vibrations to polarization states, which can be easily detected using a polarization beam splitter and a balancing photodetector. We use machine learning to classify selected events that violate the safety of the physical layer, such as manipulation or temporary disconnection of connectors. The results show the resting state can be accurately distinguished from selected security breaches for a fiber route subjected to environmental disturbances, where individual events can be classified with nearly 99% accuracy.

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