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Evaluation of MIMO channel non-stationarity
KTH, School of Electrical Engineering (EES), Signal Processing. King Saud University, Saudi Arabia.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
King Saud University, Saudi Arabia.
2013 (English)In: 2013 Proceedings of the 21st European Signal Processing Conference (EUSIPCO), IEEE , 2013, 6811769- p.Conference paper (Refereed)
Abstract [en]

Several MIMO processing algorithms have been proposed that exploit long-term channel statistics, relaying on the critical assumption that this long-term information is valid long enough. In this paper, we consider the Correlation Matrix Distance (CMD) method previously proposed for the evaluation of MIMO channel non-stationarity. We highlight a couple of problems with the CMD measure and propose two new metrics that are more appropriate for non-stationarity evaluation. The performance of the CMD method and new correlation matrix distance metrics is investigated using measured 4×4 MIMO channels. Both Line-of-Sight (LOS) and Non-LOS (NLOS) environments are considered.

Place, publisher, year, edition, pages
IEEE , 2013. 6811769- p.
, European Signal Processing Conference, ISSN 2219-5491
Keyword [en]
Channel Non-Stationarity, Correlation Matrix Distance, MIMO
National Category
Signal Processing
Research subject
URN: urn:nbn:se:kth:diva-137963ISI: 000341754500382ScopusID: 2-s2.0-84901308522ISBN: 978-099286260-2OAI: diva2:679861
The 2013th European Signal Processing Conference (EUSIPCO-2013), September 9-13, Marrakech, Morocco

QC 20140604

Available from: 2013-12-16 Created: 2013-12-16 Last updated: 2014-10-21Bibliographically approved

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ReferencesLink to record
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