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

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dc.contributor.author Chen Hu, Kun
dc.contributor.author Fernández-Getino García, María Julia
dc.contributor.author Tonello, Andrea M.
dc.contributor.author García-Armada, Ana
dc.date.accessioned 2021-06-24T08:37:12Z
dc.date.available 2021-06-24T08:37:12Z
dc.date.issued 2021-06
dc.identifier.bibliographicCitation Chen-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.
dc.identifier.issn 1536-1276
dc.identifier.uri http://hdl.handle.net/10016/32922
dc.description.abstract Cyclic 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.
dc.format.extent 15
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2021, IEEE
dc.subject.other 5G
dc.subject.other ODFM
dc.subject.other SC-FDMA
dc.subject.other CB-FMT
dc.subject.other Channel estimation
dc.subject.other Superimposed training
dc.subject.other Pilot pouring
dc.title Pilot Pouring in Superimposed Training for Channel Estimation in CB-FMT
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/TWC.2021.3049530
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TEC2017-90093-C3-2-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 3366
dc.identifier.publicationissue 6
dc.identifier.publicationlastpage 3380
dc.identifier.publicationtitle IEEE Transactions on Wireless Communications
dc.identifier.publicationvolume 20
dc.identifier.uxxi AR/0000028024
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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