Subspace estimation and decomposition for large millimeter-wave MIMO systems

IEEE Journal on Selected Topics in Signal Processing

Volumn 10, Issue 3, 2016, Pages 528-542

  Ghauch, Hadi ^a   Kim, Taejoon ^b   Bengtsson, Mats ^a   Skoglund, Mikael ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Arnoldi iteration; echo based channel estimation; hybrid architecture; hybrid precoding; Millimeter wave MIMO systems; sparse channel estimation; subspace decomposition; subspace estimation

Indexed keywords

ALGORITHMS; CHANNEL STATE INFORMATION; ITERATIVE METHODS; MILLIMETER WAVES; MIMO SYSTEMS; SIGNAL TO NOISE RATIO;

ARNOLDI ITERATIONS; HYBRID ARCHITECTURES; PRECODING; SPARSE CHANNEL ESTIMATIONS; SUBSPACE DECOMPOSITION; SUBSPACE ESTIMATION;

CHANNEL ESTIMATION;

EID: 84964975000     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2016.2538178     Document Type: Article

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