Tensor Decompositions in Wireless Communications and MIMO Radar

The emergence of big data and the multidimensional nature of wireless communication signals present significant opportunities for exploiting the versatility of tensor decompositions in associated data analysis and signal processing. The uniqueness of tensor decompositions, unlike matrix-based method...

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Bibliographic Details
Published in:	IEEE journal of selected topics in signal processing Vol. 15; no. 3; pp. 438 - 453
Main Authors:	Chen, Hongyang, Ahmad, Fauzia, Vorobyov, Sergiy, Porikli, Fatih
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algebra Analytical models CDMA Channel estimation Data analysis Decomposition Design parameters Mathematical models millimeter wave MIMO MIMO radar parallel factor analysis (PARAFAC) Parameter estimation Radar rank Signal processing symbol recovery Tensor analysis tensor decomposition tensor factorization Tensors transmit beamspace tucker model Wireless communication Wireless communications
ISSN:	1932-4553, 1941-0484
Online Access:	Get full text
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