Fiber Link Anomaly Detection and Estimation Based on Signal Nonlinearity
Sidelnikov Gleb, Pestov Konstantin, Ji Quan Luo, Bofang Zheng
Abstract
A fiber link anomaly detection and estimation approach is proposed. Using signal nonlinear distortion, signal power profile anomaly and passband narrowing anomaly can be recognized with high quantitative and position accuracy. This approach does not require additional device and can support online working.
Topics & Concepts
SIGNAL (programming language)PassbandComputer scienceAnomaly (physics)Distortion (music)Anomaly detectionNonlinear systemNonlinear distortionElectronic engineeringArtificial intelligenceTelecommunicationsEngineeringPhysicsBandwidth (computing)Band-pass filterQuantum mechanicsProgramming languageCondensed matter physicsAmplifierOptical Network TechnologiesAdvanced Photonic Communication SystemsAdvanced Fiber Laser Technologies