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, Kommunikations- och antennsystem, Kommunikationssystem

Nil Garcia

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Klaus Witrisal

Technische Universität Graz

Josef Kulmer

Technische Universität Graz

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

IEEE Global Communications Conference
Abu Dhabi, United Arab Emirates,

MassLOC

Europeiska kommissionen (Horisont 2020), 2017-04-18 -- 2019-04-13.

Fifth Generation Communication Automotive Research and innovation (5GCAR)

Europeiska kommissionen (Horisont 2020), 2017-06-01 -- 2019-05-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

DOI

10.1109/GLOCOM.2018.8647176

Mer information

Senast uppdaterat

2019-12-09