Full Optical Fiber Link Characterization With the BSS-Lasso

Journal Article (2019)
Author(s)

Raphael Saavedra (Pontifical Catholic University of Rio de Janeiro)

Pedro Tovar (Pontifical Catholic University of Rio de Janeiro)

Gustavo Castro Do Amaral (TU Delft - QID/Tittel Lab, Kavli institute of nanoscience Delft, TU Delft - QuTech Advanced Research Centre, TU Delft - Applied Sciences)

Bruno Fanzeres (Pontifical Catholic University of Rio de Janeiro)

Research Group
QID/Tittel Lab
DOI related publication
https://doi.org/10.1109/TIM.2018.2884555 Final published version
More Info
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Publication Year
2019
Language
English
Research Group
QID/Tittel Lab
Issue number
10
Volume number
68
Article number
8585147
Pages (from-to)
4162-4174
Downloads counter
162

Abstract

In this paper, a novel technique for optical fiber monitoring that introduces the least absolute shrinkage and selection operator (Lasso) as a signal processing technique within the baseband subcarrier sweep (BSS) framework, called the BSS-Lasso, is proposed. The methodology is tested in simulated and real-world environments, taking into account both reflective and nonreflective events. The results show that for fiber links ranging from 2 to 15 km with up to three faults, over 80% of faults are detected within a 50-m range, and indicate that the proposed methodology significantly outperforms current state-of-the-art BSS-based supervision techniques. Finally, the BSS-Lasso allows for precise, low-cost, transmitter-embedded full characterization of optical fiber links.