Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74039
DC FieldValueLanguage
dc.contributor.authorLi, Yen_US
dc.contributor.authorWu, Men_US
dc.contributor.authorDu, Xen_US
dc.contributor.authorXu, Zen_US
dc.contributor.authorGurusamy, Men_US
dc.contributor.authorYu, Cen_US
dc.contributor.authorKam, PYen_US
dc.date.accessioned2018-03-29T07:16:01Z-
dc.date.available2018-03-29T07:16:01Z-
dc.date.issued2018-
dc.identifier.citationOptics communications, 2018, v. 409, p. 45-51en_US
dc.identifier.issn0030-4018-
dc.identifier.urihttp://hdl.handle.net/10397/74039-
dc.description.abstractA novel soft-decision-aided maximum likelihood (SDA-ML) carrier phase estimation method and its simplified version, the decision-aided and soft-decision-aided maximum likelihood (DA-SDA-ML) methods are tested in a nonlinear phase noise-dominant channel. The numerical performance results show that both the SDA-ML and DA-SDA-ML methods outperform the conventional DA-ML in systems with constant-amplitude modulation formats. In addition, modified algorithms based on constellation partitioning are proposed. With partitioning, the modified SDA-ML and DA-SDA-ML are shown to be useful for compensating the nonlinear phase noise in multi-level modulation systems.en_US
dc.description.sponsorshipDepartment of Electronic and Information Engineeringen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofOptics communicationsen_US
dc.subjectCoherent optical systemsen_US
dc.subjectConstellation partitioningen_US
dc.subjectNonlinear phase noiseen_US
dc.subjectSDA-MLen_US
dc.titleNonlinear phase noise tolerance for coherent optical systems using soft-decision-aided ML carrier phase estimation enhanced with constellation partitioningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage45-
dc.identifier.epage51-
dc.identifier.volume409-
dc.identifier.doi10.1016/j.optcom.2017.06.098-
dc.identifier.scopus2-s2.0-85025440883-
dc.identifier.eissn1873-0310-
dc.identifier.rosgroupid2017004482-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201802 bcrc-
Appears in Collections:Journal/Magazine Article
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page view(s)

64
Citations as of Dec 11, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.