Full Optical Fiber Link Characterization With the BSS-Lasso

Raphael Saavedra, Pedro Tovar, Gustavo Castro Do Amaral, Bruno Fanzeres

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Article number8585147
Pages (from-to)4162-4174
Number of pages13
JournalIEEE Transactions on Instrumentation and Measurement
Issue number10
Publication statusPublished - 2019


  • High-dimensional statistics
  • Lasso regression
  • optical fiber measurements
  • reflectometry
  • signal processing


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