Tensor Decomposition Based Beamspace ESPRIT for Millimeter Wave MIMO Channel Estimation
Paper i proceeding, 2018

We propose a search-free beamspace tensor-ESPRIT algorithm for millimeter wave MIMO channel estimation. It is a multidimensional generalization of beamspace-ESPRIT method by exploiting the multiple invariance structure of the measurements. Geometry-based channel model is considered to contain the channel sparsity feature. In our framework, an alternating least squares problem is solved for low rank tensor decomposition and the multidimensional parameters are automatically associated. The performance of the proposed algorithm is evaluated by considering different transformation schemes.

Författare

Fuxi Wen

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Nil Garcia

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Klaus Witrisal

Technische Universität Graz

Josef Kulmer

Technische Universität Graz

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

23340983 (ISSN) 25766813 (eISSN)

IEEE Global Communications Conference
Abu Dhabi, United Arab Emirates,

MassLOC

Europeiska kommissionen (EU) (EC/H2020/700044), 2017-04-18 -- 2019-04-13.

Fifth Generation Communication Automotive Research and innovation (5GCAR)

Europeiska kommissionen (EU) (EC/H2020/761510), 2017-06-01 -- 2019-05-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

DOI

10.1109/GLOCOM.2018.8647176

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Senast uppdaterat

2023-03-21