Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements

Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements

On mobile radio links, data samples collected at successive time intervals and at closely spaced frequencies are correlated, so long data records are required to acquire sufficient independent samples for analysis. Statistical analysis of long data records is not reliable because the channel statist...

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Main Author: Tricia J. Willink
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2013/345908
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spelling doaj-533c5077dab7467bbd413be3f7a66e4c2020-11-24T20:44:08ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772013-01-01201310.1155/2013/345908345908Limits on Estimating Autocorrelation Matrices from Mobile MIMO MeasurementsTricia J. Willink0Communications Research Centre Canada, P.O. Box 11490, Station H, 3701 Carling Avenue, Ottawa, ON, K2H 8S2, CanadaOn mobile radio links, data samples collected at successive time intervals and at closely spaced frequencies are correlated, so long data records are required to acquire sufficient independent samples for analysis. Statistical analysis of long data records is not reliable because the channel statistics remain wide-sense stationary only over short distances. This is a particular concern for MIMO systems when full autocorrelation matrices may be required for channel modelling or characterisation. MIMO channel responses from mobile measurements in an urban microcell have been used to investigate the limits on estimating autocorrelation matrices, and these are compared to those predicted by commonly used channel models.http://dx.doi.org/10.1155/2013/345908
collection DOAJ
language English
format Article
sources DOAJ
author Tricia J. Willink
spellingShingle Tricia J. Willink
Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements
International Journal of Antennas and Propagation
author_facet Tricia J. Willink
author_sort Tricia J. Willink
title Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements
title_short Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements
title_full Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements
title_fullStr Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements
title_full_unstemmed Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements
title_sort limits on estimating autocorrelation matrices from mobile mimo measurements
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2013-01-01
description On mobile radio links, data samples collected at successive time intervals and at closely spaced frequencies are correlated, so long data records are required to acquire sufficient independent samples for analysis. Statistical analysis of long data records is not reliable because the channel statistics remain wide-sense stationary only over short distances. This is a particular concern for MIMO systems when full autocorrelation matrices may be required for channel modelling or characterisation. MIMO channel responses from mobile measurements in an urban microcell have been used to investigate the limits on estimating autocorrelation matrices, and these are compared to those predicted by commonly used channel models.
url http://dx.doi.org/10.1155/2013/345908
work_keys_str_mv AT triciajwillink limitsonestimatingautocorrelationmatricesfrommobilemimomeasurements
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