|
PolyU Institutional Repository >
Electronic and Information Engineering >
EIE Journal/Magazine Articles >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/4509
|
| Title: | Analytical design of densely dispersion-managed optical fiber transmission systems with Gaussian and raised cosine return-to-zero Ansätze |
| Authors: | Nakkeeran, K. Kwan, Yuk-ha Wai, Ping-kong Alexander Labruyère, A. Dinda, P. Tchofo Moubissi, A. B. |
| Subjects: | Computer simulation Fiber optic networks Nonlinear equations Optical design Variational techniques |
| Issue Date: | 1-Nov-2004 |
| Publisher: | Optical Society of America |
| Citation: | Journal of the optical society of America B: optical physics, 1 Nov. 2004, v. 21, no. 11, p. 1901-1907. |
| Abstract: | We propose an easy and efficient way to analytically design densely dispersion-managed fiber systems for ultrafast optical communications. This analytical design is based on the exact solution of the variational equations derived from the nonlinear Schrödinger equation by use of either a Gaussian or a raised-cosine (RC) Ansatz. For the input pulses of dispersion-managed optical fiber transmission systems we consider a RC profile and show that RC return-to-zero pulses are as effective as Gaussian pulses in high-speed (160-Gbits/s) long-distance transmissions. |
| Description: | DOI: 10.1364/JOSAB.21.001901 |
| Rights: | © 2004 Optical Society of America. This paper was published in Journal of the Optical Society of America B and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://www.opticsinfobase.org/josab/abstract.cfm?URI=josab-21-11-1901. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law. |
| Type: | Journal/Magazine Article |
| URI: | http://hdl.handle.net/10397/4509 |
| ISSN: | 0740-3224 |
| Appears in Collections: | EIE Journal/Magazine Articles
|
Facebook
del.icio.us
LinkedIn
All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. No item in the PolyU IR may be reproduced for commercial or resale purposes.
|
|