Photonics (Jul 2023)

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

  • Xiuzhu Li,
  • Min Zhang,
  • Haoran Guo,
  • Zixiong Shi,
  • Yuanyuan Guo,
  • Tong Zhao,
  • Anbang Wang

DOI
https://doi.org/10.3390/photonics10070822
Journal volume & issue
Vol. 10, no. 7
p. 822

Abstract

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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.

Keywords