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

[Person 97381872-f530-48e6-90c9-7ec703b7becb not found]

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

[Person 5ff2e170-164b-47d9-aa52-c03eabf7b6f2 not found]

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

[Person 9b3b3828-372b-4edc-b1da-e95b2f8f7988 not found]

Technische Universität Graz

[Person b4ffffc2-439c-4d19-8d51-adfd9ca58ecd not found]

Technische Universität Graz

[Person 5e4253a3-d9a5-424a-82ce-a7dd793e28c0 not found]

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

IEEE Global Communications Conference
Abu Dhabi, United Arab Emirates,

MassLOC

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

Fifth Generation Communication Automotive Research and innovation (5GCAR)

Europeiska kommissionen (EU), 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