Please use this identifier to cite or link to this item: https://doi.org/10.1109/JLT.2013.2279593
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dc.titleSoft-decision-aided, maximum-likelihood carrier phase estimation for coherent optical qam
dc.contributor.authorWu, M.-W.
dc.contributor.authorKam, P.-Y.
dc.date.accessioned2014-06-17T03:06:12Z
dc.date.available2014-06-17T03:06:12Z
dc.date.issued2013
dc.identifier.citationWu, M.-W., Kam, P.-Y. (2013). Soft-decision-aided, maximum-likelihood carrier phase estimation for coherent optical qam. Journal of Lightwave Technology 31 (22) : 3443-3452. ScholarBank@NUS Repository. https://doi.org/10.1109/JLT.2013.2279593
dc.identifier.issn07338724
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/57438
dc.description.abstractA novel, soft-decision-aided, maximum likelihood (SDA-ML) phase estimator is derived for carrier phase estimation in coherent optical communication. For estimating the carrier phase of the current symbol, SDA-ML uses both the feedback of earlier soft data decisions and the feedforward of later soft data decisions. The estimator is applicable to arbitrary 2-D modulations, where the symbols can have unequal energies and unequal a priori probabilities, and the constellation can be asymmetrical. An iterative SDA-ML algorithm and a simplified DA-SDA-ML algorithm with a reduced computational complexity are proposed. Both algorithms have no phase ambiguity. The data detector does not require to estimate the phase explicitly. Simulations show that SDA-ML and DA-SDA-ML outperform the $M$th power and DA-ML in the presence of strong linear laser phase noise. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/JLT.2013.2279593
dc.sourceScopus
dc.subjectlaser phase noise
dc.subjectmaximum likelihood
dc.subjectphase estimation
dc.subjectsoft-decision-aided
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/JLT.2013.2279593
dc.description.sourcetitleJournal of Lightwave Technology
dc.description.volume31
dc.description.issue22
dc.description.page3443-3452
dc.description.codenJLTED
dc.identifier.isiut000336251500001
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