A Nonlinear Concurrent Butterfly Equalizer

Loading...
Thumbnail Image
Date
2021-06
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Altmetrics
Abstract
Optical communication systems operating with high data rates and dual-polarization are frequently disrupted by chromatic and polarization mode dispersions. Fixed filters usually mitigate chromatic dispersion; on the other hand, polarization mode dispersion (PMD), due to its stochastic behavior, is reduced by adaptive filters, such as channel equalizers. In this context, this article proposes a novel blind equalization architecture, based on the nonlinear modified concurrent equalizer (NMCE) expanded to a butterfly structure. The proposed nonlinear concurrent butterfly equalizer (NCBE) combines the reduced uncertainty and the sharper decision regions of the NMCE in both X and Y polarizations, resulting in improved performance. The NCBE is compared with the constant modulus algorithm (CMA), the modified CMA (MCMA), and the concurrent CMA-SDD (soft direct decision), all of them in butterfly architectures and with fractionally-spaced equalization. Results show that the proposed solution presents a reduced bit error rate (BER) and steady-state mean squared error (MSE) figures compared with the CMA, MCMA, and CMA-SDD equalizers the NCBE cross-shaped noise of the nonlinear equalizer output. Also, the NCBE can operate at higher values of PMD compared to the least mean square (LMS) equalizer without the necessity of delaying polarization X, Y, or both.
Description
Citation
Radioengineering. 2021 vol. 30, č. 2, s. 261-270. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2021/21_02_0261_0270.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
Creative Commons Attribution 4.0 International license
http://creativecommons.org/licenses/by/4.0/
Collections
Citace PRO