Keywords
MIMO systems, UHF radio propagation, channel capacity, covariance matrices, electromagnetic wave polarisation, indoor radio, multipath channels, normal distribution, statistical analysis
Abstract
This paper demonstrates the ability of a physically based statistical multipath propagation model to match capacity statistics and pairwise magnitude and phase distributions of measured 4 x 4 and 10 x 10 narrow-band multiple-input multiple-output data (MIMO) at 2.4 GHz. The model is compared to simpler statistical models based on the multivariate complex normal distribution with either complex envelope or power correlation. The comparison is facilitated by computing channel element covariance matrices for fixed sets of multipath statistics. Multipolarization data is used to demonstrate a simple method for modeling dual-polarization arrays.
Original Publication Citation
Wallace, J. W., and M. A. Jensen. "Modeling the Indoor MIMO Wireless Channel." Antennas and Propagation, IEEE Transactions on 5.5 (22): 591-9
BYU ScholarsArchive Citation
Jensen, Michael A. and Wallace, Jon W., "Modeling the indoor MIMO wireless channel" (2002). Faculty Publications. 542.
https://scholarsarchive.byu.edu/facpub/542
Document Type
Peer-Reviewed Article
Publication Date
2002-05-01
Permanent URL
http://hdl.lib.byu.edu/1877/1079
Publisher
IEEE
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Electrical and Computer Engineering
Copyright Status
© 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
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