Parameter Optimization for Modulation-Enhanced External Cavity Resonant Frequency in Fiber Fault Detection

Autor: Xiuzhu Li, Min Zhang, Haoran Guo, Zixiong Shi, Yuanyuan Guo, Tong Zhao, Anbang Wang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Photonics, Vol 10, Iss 7, p 822 (2023)
Druh dokumentu: article
ISSN: 2304-6732
DOI: 10.3390/photonics10070822
Popis: Fiber fault detection is crucial for maintaining the quality of optical communication, especially in well-established optical access networks with extended distances and a growing number of subscribers. However, the increasing insertion loss in fiber links presents challenges for traditional fault-detection methods in capturing fault echoes. To overcome these limitations, we propose a modulation-enhanced external-cavity-resonant-frequency method that utilizes a laser for fault echo reception, providing improved sensitivity compared to traditional photodetector-based methods. Our previous work focused on analyzing key parameters, such as sensitivity and spatial resolution, but did not consider practical aspects of selecting optimal modulation parameters. In this study, we develop a model based on Lang–Kobayashi rate equations for current-modulated optical feedback lasers and validate it through experimental investigations. Our findings reveal that optimal detection performance is achieved with a modulation depth of 0.048, a frequency sweeping range of 0.6 times the laser relaxation oscillation frequency, and a frequency sweeping step of 0.1 times the external cavity resonant frequency.
Databáze: Directory of Open Access Journals