Full Optical Fiber Link Characterization with the BSS-Lasso

TL;DR

The paper introduces the BSS-Lasso, a novel optical fiber monitoring technique that combines the Baseband Subcarrier Sweep framework with Lasso signal processing, enabling high-resolution fault detection and full fiber characterization in real-world environments.

Contribution

It presents the first integration of Lasso with BSS for optical fiber fault localization, improving detection accuracy and resolution over existing methods.

Findings

Detects over 80% of faults within 50 meters in 2-15 km fiber links.

Outperforms current state-of-the-art BSS-based supervision techniques.

Enables low-cost, transmitter-embedded full fiber characterization.

Abstract

Manipulation of the detected backscattered Rayleigh signal inside the bandwidth of a frequency-swept optical sub-carrier propagating into an optical fiber permits an efficient localization of faults through a Fourier operator. When the bandwidth is restricted, analysis in the frequency domain can overcome the spatial resolution limitation while also inducing a high-dimensional problem. Introducing the Lasso as a signal processing technique paired with the Baseband Subcarrier Sweep (BSS) framework allows for a methodology to consistently evaluate fiber defects. In this work, a novel technique for optical fiber monitoring within the BSS framework, hereinafter called the BSS-Lasso, is proposed and tested in simulated and real-world environments, taking into account both reflective and non-reflective events. The results show that, for fiber links ranging from 2 to 15 km with up to 3 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.