Tensor Decomposition Based Beamspace ESPRIT for Millimeter Wave MIMO Channel Estimation
Paper in 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.

Author

Fuxi Wen

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Nil Garcia

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Klaus Witrisal

Technische Universität Graz

Josef Kulmer

Technische Universität Graz

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

23340983 (ISSN) 25766813 (eISSN)

IEEE Global Communications Conference
Abu Dhabi, United Arab Emirates,

Massive MIMO location for 5G networks, MassLOC

European Commission (EC) (EC/H2020/700044), 2017-04-18 -- 2019-04-13.

Fifth Generation Communication Automotive Research and innovation (5GCAR)

European Commission (EC) (EC/H2020/761510), 2017-06-01 -- 2019-05-31.

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

DOI

10.1109/GLOCOM.2018.8647176

More information

Latest update

3/21/2023