Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Gain Modeling in Erbium-Doped Fiber Amplifiers

Not Accessible

Your library or personal account may give you access

Abstract

Calculation of the gain of erbium-doped fiber amplifiers (EDFAs) generally uses numerical integration of coupled, nonlinear, differential equations and requires knowledge of parameters such as the erbium atom density, spontaneous lifetimes, and the fiber active area, as well as the absorption cross-section, emission cross-section, and confinement factor for each wavelength involved [1], [2]. We derive analytic expressions from which the gain can be calculated by solving one transcendental equation. We show that a complete understanding of the input-output characteristics of a fiber amplifier of any length can be obtained from simple absorption measurements. This remarkable result is valid provided excited-state absorption [2], [3] and gain saturation due to amplified spontaneous-emission noise can be neglected. Measurements of saturated and unsaturated gain agree to better than 0.5 dB with gains predicted from absorption data.

© 1990 Optical Society of America

PDF Article
More Like This
Experimental verification of accurate model for Erbium doped fiber amplifier in a gain range from 0 to 40 dB

Bo Pedersen, Kristen Dybdal, Carsten Dam-Hansen, Anders Bjarklev, Jørn Hedegaard Povlsen, Helle Vendeltorp-Pommer, and Carl Christian Larsen
MD5 Optical Amplifiers and Their Applications (OAA) 1990

Noise Figure of a Gain-Saturated Erbium-Doped Fiber Amplifier Pumped at 980 nm

W. I. Way, A. C. Von Lehman, M. J. Andrejco, M. A. Saifi, and C. Lin
TuB3 Optical Amplifiers and Their Applications (OAA) 1990

High gain erbium doped fiber amplifier and tunable erbium doped fiber laser pumped at 532 nm

CHIEN-YUAN CHEN, M. M. CHOY, M. J. ANDREJCO, M. A. SAIFI, and CHINLON LIN
FA3 Optical Fiber Communication Conference (OFC) 1990

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.