Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Current Optics and Photonics
  • Vol. 7,
  • Issue 1,
  • pp. 28-32
  • (2023)

Experimental Evaluation of Frequency Characteristics of Gain-saturated EDFA for Suppression of Signal Fluctuation in Terrestrial Free-space Optical Communication Systems

Open Access Open Access

Abstract

Frequency characteristics of gain-saturated erbium-doped fiber amplifier (EDFA) are experimentally evaluated to mitigate the optical signal fluctuation induced by atmospheric turbulence in terrestrial free-space optical communication systems. Here, an acousto-optic modulator (AOM) is used to emulate optical signal fluctuations induced by atmospheric turbulence. The waveform which is generated in proportion to the refractive-index structural parameters is used to drive the AOM at various periodic frequencies. Thus, the dependence of the signal fluctuation suppression on the frequency is evaluated. The experiment is conducted using a periodic frequency sweep of the AOM driving voltage waveform and signal input power variation of the amplifier. It is observed that a low periodic frequency and high input signal power effectively suppress the optical signal fluctuation. This study evaluates the experimental results from the high-pass filter and gain-saturation characteristics of the EDFA.

© 2023 Optical Society of Korea

PDF Article
More Like This
Optical adaptive power transmission using APC-EDFA for turbulence-tolerant FSO communications

Yan-Qing Hong, Gang Li, and Zhen-Yu Liu
Opt. Express 29(15) 23777-23785 (2021)

All-optical gain-clamped EDFA using external saturation signal for burst-mode upstream in TWDM-PONs

Han Hyub Lee, Jong Hyun Lee, and Sang Soo Lee
Opt. Express 22(15) 18186-18194 (2014)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.


Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.