Long-period fiber grating sensor interrogation with single strain modulated FBG and harmonic analysis

Sampaio, Guilherme Marinho; Barino, Felipe Oliveira; Santos, Alexandre Bessa dos

doi:10.1016/j.yofte.2022.102940

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…In addition to our previous reseach [6] in this field, such a hybrid model has now been improved and unified with 5 FBG optical sensor system by efficiently using an amplified spontaneous emission (ASE) broadband light source to provide out-of-band spectral concealment for hidden channels and also power the FBG optical sensor system. FBG optical sensors due to their various advantages [7], [8], for instance, immunity to electromagnetic interference, light weigth and small size are more frequently used in the industry and optical network infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Development of Unified Hybrid WDM-PON With Spectrally Hidden Data Channel System and FBG Optical Sensor Network

Seņkāns

Braunfelds

Rubuls

et al. 2023

Latvian Journal of Physics and Technical Sciences

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As the demand for fiber optical data transmission systems and other type of applications, which require optical media, like optical sensing increases, the unauthorized parties are becoming increasingly interested in such systems. Also, with such demand, more complex optical systems are required; thus, the network infrastructure is becoming more crowded. It is vital to economize on the available resources and infrastructure to ensure the needs of all interested business, governmental or end-user sides. Therefore, the present research focuses on the development of a unified hybrid optical system. The developed hybrid optical transmission system adds additional protection to the channels, allows for the unification of standard optical data transmission channels, optical sensors and spectrally hidden data transmission channel systems, and increases the efficiency of the optical components used.

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Section: Introductionmentioning

confidence: 99%