Publication:
Pilot Pouring in Superimposed Training for Channel Estimation in CB-FMT

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Comunicacioneses
dc.contributor.authorChen Hu, Kun
dc.contributor.authorFernández-Getino García, María Julia
dc.contributor.authorTonello, Andrea M.
dc.contributor.authorGarcía-Armada, Ana
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-06-24T08:37:12Z
dc.date.available2021-06-24T08:37:12Z
dc.date.issued2021-06
dc.description.abstractCyclic block filtered multi-tone (CB-FMT) is a waveform that can be efficiently synthesized through a filter-bank in the frequency domain. Although the main principles have been already established, channel estimation has not been addressed yet. This is because of assuming that the existing techniques based on pilot symbol assisted modulation (PSAM), implemented in OFDM-like schemes, can be reused. However, PSAM leads to an undesirable loss of data-rate. In this paper, an alternative method inspired by the superimposed training (ST) concept, namely pilot pouring ST (PPST), is proposed. In PPST, pilots are superimposed over data taking advantage of the particular spectral characteristics of CB-FMT. Exploiting the sub-channel spectrum, the pilot symbols are poured in those resources unused for data transmission. This spectral shaping of pilots is also exploited at the receiver to carry out channel estimation, by enhancing those channel estimates that exhibit a low data interference contribution. Furthermore, a frequency domain resource mapping strategy for the data and poured pilot symbols is proposed to enable an accurate estimation in strongly frequency-selective channels. The parameters of the proposed scheme are optimized to minimize the channel estimation mean squared error (MSE). Finally, several numerical results illustrate the performance advantages of the proposed technique as compared to other alternatives.en
dc.format.extent15
dc.identifier.bibliographicCitationChen-Hu, K., Garcia, M. J. F. G., Tonello, A. M. & Armada, A. G. (2021). Pilot Pouring in Superimposed Training for Channel Estimation in CB-FMT. IEEE Transactions on Wireless Communications, 20(6), pp. 3366–3380.en
dc.identifier.doihttps://doi.org/10.1109/TWC.2021.3049530
dc.identifier.issn1536-1276
dc.identifier.publicationfirstpage3366
dc.identifier.publicationissue6
dc.identifier.publicationlastpage3380
dc.identifier.publicationtitleIEEE Transactions on Wireless Communicationsen
dc.identifier.publicationvolume20
dc.identifier.urihttps://hdl.handle.net/10016/32922
dc.identifier.uxxiAR/0000028024
dc.language.isoeng
dc.publisherIEEE
dc.relation.projectIDGobierno de España. TEC2017-90093-C3-2-Res
dc.rights© 2021, IEEE
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.other5Gen
dc.subject.otherODFMen
dc.subject.otherSC-FDMAen
dc.subject.otherCB-FMTen
dc.subject.otherChannel estimationen
dc.subject.otherSuperimposed trainingen
dc.subject.otherPilot pouringen
dc.titlePilot Pouring in Superimposed Training for Channel Estimation in CB-FMTen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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