The University of Southampton
University of Southampton Institutional Repository

Noise in erbium-doped fibre amplifiers

Noise in erbium-doped fibre amplifiers
Noise in erbium-doped fibre amplifiers
Noise mechanisms in an erbium fibre amplifier are experimentally characterised. System advantages of 13dB and 7dB are predicted when used as a power- or pre- amplifier respectively.
Laming, R.I.
c86f359b-9145-4148-bc7d-ae4f3d272ca2
Morkel, P.R.
51a7c599-5f6a-4b31-81ee-1de7b09ee0de
Payne, D.N.
4f592b24-707f-456e-b2c6-8a6f750e296d
Reekie, L.
ec314137-6924-44ad-86a4-ff3f9a67c1b5
Laming, R.I.
c86f359b-9145-4148-bc7d-ae4f3d272ca2
Morkel, P.R.
51a7c599-5f6a-4b31-81ee-1de7b09ee0de
Payne, D.N.
4f592b24-707f-456e-b2c6-8a6f750e296d
Reekie, L.
ec314137-6924-44ad-86a4-ff3f9a67c1b5

Laming, R.I., Morkel, P.R., Payne, D.N. and Reekie, L. (1988) Noise in erbium-doped fibre amplifiers. ECOC: 14th European Conference on Optical Communication, Brighton, United Kingdom. 11 - 15 Sep 1988.

Record type: Conference or Workshop Item (Paper)

Abstract

Noise mechanisms in an erbium fibre amplifier are experimentally characterised. System advantages of 13dB and 7dB are predicted when used as a power- or pre- amplifier respectively.

Text
375
Download (264kB)

More information

Published date: 1988
Venue - Dates: ECOC: 14th European Conference on Optical Communication, Brighton, United Kingdom, 1988-09-11 - 1988-09-15

Identifiers

Local EPrints ID: 77579
URI: http://eprints.soton.ac.uk/id/eprint/77579
PURE UUID: 92a3f896-abfb-4841-b0d0-3b7f98cde27e

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 13 Mar 2024 23:55

Export record

Contributors

Author: R.I. Laming
Author: P.R. Morkel
Author: D.N. Payne
Author: L. Reekie

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×