Bayesian Filtering for Phase Noise Characterization and Carrier Synchronization of up to 192 Gb/s PDM 64-QAM

Darko Zibar, L. Carvalho, Molly Piels, A. Doberstein, J. Diniz, B. Nebendahl, C. Franciscangelis, Jose Manuel Estaran Tolosa, H. Haisch, N. G. Gonzalez, J. F. R. de Oliveira, Idelfonso Tafur Monroy

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    We show that phase noise estimation based on Bayesian filtering outperforms conventional time-domain approaches in the presence of moderate measurement noise. Additionally, carrier synchronization based on Bayesian filtering, in combination with expectation maximization, is demonstrated for the first time experimentally
    Original languageEnglish
    Title of host publicationProceedings of ECOC 2014
    Number of pages3
    PublisherIEEE
    Publication date2014
    ISBN (Print)9782954944401
    DOIs
    Publication statusPublished - 2014
    EventEuropean Conference on Optical Communication (ECOC 2014) - Cannes, France
    Duration: 21 Sept 201425 Sept 2014

    Conference

    ConferenceEuropean Conference on Optical Communication (ECOC 2014)
    Country/TerritoryFrance
    CityCannes
    Period21/09/201425/09/2014

    Fingerprint

    Dive into the research topics of 'Bayesian Filtering for Phase Noise Characterization and Carrier Synchronization of up to 192 Gb/s PDM 64-QAM'. Together they form a unique fingerprint.

    Cite this