Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106890
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorHuo, J-
dc.creatorZhou, X-
dc.creatorShang, C-
dc.creatorHuangfu, W-
dc.creatorYuan, J-
dc.creatorNing, H-
dc.creatorLong, K-
dc.creatorYu, C-
dc.creatorLau, APT-
dc.creatorLu, C-
dc.date.accessioned2024-06-07T00:58:40Z-
dc.date.available2024-06-07T00:58:40Z-
dc.identifier.issn1674-733X-
dc.identifier.urihttp://hdl.handle.net/10397/106890-
dc.language.isoenen_US
dc.publisherScience China Press, co-published with Springeren_US
dc.rights© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11432-019-2870-8.en_US
dc.subjectDirect detectionen_US
dc.subjectPAM4en_US
dc.subjectPolarization division multiplexingen_US
dc.subjectShort-reach optical communicationsen_US
dc.subjectStokes vectoren_US
dc.titleTheoretical and numerical analyses for PDM-IM signals using Stokes vector receiversen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume63-
dc.identifier.issue10-
dc.identifier.doi10.1007/s11432-019-2870-8-
dcterms.abstractDifferent from current coherent-detection-based long-haul transmission systems, inter- and intradatacenter transmissions require a simpler transmitter and receiver. A promising way to significantly meet the demands of datacenter transmission is polarization division multiplexing intensity modulation with direct detection (PDM-IM-DD) using a Stokes vector receiver (SVR). However, for different SVR architectures, the corresponding demultiplexing matrix is required to recover the Stokes vectors from the detected signals, which are combined with an arbitrary state of polarization (SOP), will change the effect of noise dynamically and significantly influence the system performance. In this study, PDM-IM signals using four SVRs, i.e., a 90° optical hybrid with 2 balanced photodetectors (BPDs) and 2 photodetectors (PDs), a 90° optical hybrid with 4 PDs, a Stokes analyzer and a 3 × 3 coupler with 4 PDs, are studied theoretically and numerically. Theoretical system models using the four SVRs are developed, and the noise power variations are analyzed quantitatively based on these models. Moreover, the performance of the systems is also investigated for 224 Gbit/s polarization division multiplexing pulse amplitude modulation 4 level with direct detection (PDM-PAM4-DD) transmission in a simulation. The simulation results show that the bit error rate (BER) performance of the systems is consistent with the theoretical noise power variation curves. The theoretical analysis scheme is helpful for the practical design of SVR-based systems.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationScience China. Information sciences, Oct. 2020, v. 63, no. 10, 202307-
dcterms.isPartOfScience China. Information sciences-
dcterms.issued2020-10-
dc.identifier.scopus2-s2.0-85091522385-
dc.identifier.eissn1869-1919-
dc.identifier.artn202307-
dc.description.validate202405 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEIE-0141en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key Research and Development Program of China; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; State Key Laboratory of Advanced Optical Communication Systems Networks, China; the Open Fund of IPOC (BUPT); Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS55098987en_US
dc.description.oaCategoryGreen (AAM)en_US
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