Polynomial matrix decompositions and semi‐blind channel estimation for MIMO frequency‐selective channels-Reference-Cited by-同舟云学术

Polynomial matrix decompositions and semi‐blind channel estimation for MIMO frequency‐selective channels

Published:2019-05 Issue:3 Volume:13 Page:356-366
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Hassan Diyari¹^ORCID,Redif Soydan¹^ORCID,Lambotharan Sangarapillai²

Affiliation:

1. Department of Electrical and Electronics Engineering, Faculty of EngineeringEuropean University of LefkeLefke, Northern Cyprus, TR‐10 MersinTurkey

2. Signal Processing and Networks Research Group, Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough UniversityLE11 3TUUK

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2018.5401

Reference33 articles.

1. Brandt R. Bengtsson M.: ‘Wideband MIMO channel diagonalization in the time domain’.IEEE 22nd Int. Symp. on Personal Indoor and Mobile Radio Communications Toronto Canada September2011 pp.1958–1962

2. Spatio-temporal coding for wireless communication

3. Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels

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