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Fast channel estimation in the transformed spatial domain for analog millimeter wave systems

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Fast channel estimation in the transformed spatial domain for analog millimeter wave systems

dc.contributor.author	Roger Varea, Sandra
dc.contributor.author	Cobos Serrano, Máximo
dc.contributor.author	Botella Mascarell, Carmen
dc.contributor.author	Fodor, Gabor
dc.date.accessioned	2021-09-21T13:51:21Z
dc.date.available	2023-04-13T04:45:05Z
dc.date.issued	2021
dc.identifier.citation	Roger Varea, Sandra Cobos Serrano, Máximo Botella Mascarell, Carmen Fodor, Gabor 2021 Fast channel estimation in the transformed spatial domain for analog millimeter wave systems Ieee Transactions On Wireless Communications 20 9 5926 5941
dc.identifier.uri	https://hdl.handle.net/10550/80334
dc.description.abstract	Fast channel estimation in millimeter-wave (mmWave) systems is a fundamental enabler of high-gain beamforming, which boosts coverage and capacity. The channel estimation stage typically involves an initial beam training process where a subset of the possible beam directions at the transmitter and receiver is scanned along a predefined codebook. Unfortunately, the high number of transmit and receive antennas deployed in mmWave systems increase the complexity of the beam selection and channel estimation tasks. In this work, we tackle the channel estimation problem in analog systems from a different perspective than used by previous works. In particular, we propose to move the channel estimation problem from the angular domain into the transformed spatial domain, in which estimating the angles of arrivals and departures corresponds to estimating the angular frequencies of paths constituting the mmWave channel. The proposed approach, referred to as transformed spatial domain channel estimation (TSDCE) algorithm, exhibits robustness to additive white Gaussian noise by combining low-rank approximations and sample autocorrelation functions for each path in the transformed spatial domain. Numerical results evaluate the mean square error of the channel estimation and the direction of arrival estimation capability. TSDCE significantly reduces the first, while exhibiting a remarkably low computational complexity compared with well-known benchmarking schemes.
dc.language.iso	eng
dc.relation.ispartof	Ieee Transactions On Wireless Communications, 2021, vol. 20, num. 9, p. 5926-5941
dc.subject	Telecomunicació
dc.subject	Tecnologia
dc.title	Fast channel estimation in the transformed spatial domain for analog millimeter wave systems
dc.type	journal article	es_ES
dc.date.updated	2021-09-21T13:51:22Z
dc.identifier.doi	10.1109/TWC.2021.3071315
dc.identifier.idgrec	147846
dc.embargo.terms	24 months
dc.rights.accessRights	open access	es_ES