Publication:
Partial-Data Superimposed Training with Data Precoding for OFDM Systems

dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Comunicacioneses
dc.contributor.authorEstrada Jiménez, Juan Carlos
dc.contributor.authorFernández-Getino García, María Julia
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-05-19T09:41:26Z
dc.date.available2021-05-19T09:41:26Z
dc.date.issued2019-06
dc.description.abstractSuperimposed training (ST) is a recently addressed technique used for channel estimation where known training sequences are arithmetically added to data symbols, avoiding the use of dedicated pilot subcarriers, and thus, increasing the available bandwidth compared with traditional pilot symbol assisted modulation schemes. However, the system handles data interference over channel estimation as a result of the ST process; also, data detection is degraded by pilot interference. Recent ST methods have analyzed the data interference and presented schemes that deal with it. We propose a novel superimposed model over a precoded data scheme, named partial-data superimposed training (PDST), where an interference control factor assigns the adequate information level to be added to the training sequence in orthogonal frequency division multiplexing systems. Also, a data detection method is introduced to improve the symbol error rate performance. Moreover, a capacity analysis of the system has been derived. Finally, simulation results confirm that performance of PDST is superior to previous proposals.en
dc.format.extent11
dc.identifier.bibliographicCitationEstrada-Jimenez, J. C. & Fernandez-Getino Garcia, M. J. (2019). Partial-Data Superimposed Training With Data Precoding for OFDM Systems. IEEE Transactions on Broadcasting, 65(2), pp. 234–244.en
dc.identifier.doihttps://doi.org/10.1109/TBC.2018.2874542
dc.identifier.issn0018-9316
dc.identifier.publicationfirstpage234
dc.identifier.publicationissue2
dc.identifier.publicationlastpage244
dc.identifier.publicationtitleIEEE Transactions on Broadcastingen
dc.identifier.publicationvolume65
dc.identifier.urihttps://hdl.handle.net/10016/32677
dc.identifier.uxxiAR/0000025106
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDGobierno de España. TEC2014-59255-C3-3-Res
dc.relation.projectIDGobierno de España. TEC2017-90093-C3-2-Res
dc.rights© 2019, IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherChannel estimationen
dc.subject.otherData interferenceen
dc.subject.otherOFDMen
dc.subject.otherSuperimposed trainingen
dc.titlePartial-Data Superimposed Training with Data Precoding for OFDM Systemsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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