DocumentCode
2782279
Title
Rayleigh Scattering Cluster Based Spatial-Temporal-Spectral Correlation Properties with MIMO-OFDM Channel Model
Author
Li, Xin ; Ekman, Torbjörn
Author_Institution
Dept. of Electron. & Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear
2012
fDate
3-6 Sept. 2012
Firstpage
1
Lastpage
5
Abstract
This paper addresses the MIMO-OFDM channel simulator in state space representation which is based on the spatial-temporal-spectral correlation due to clustered radio propagation. The scattering clusters are assumed to be 2D Rayleigh clusters. This renders AOD, AOA that can be approximated as the Gaussian angular power distributions, and TOA that can be approached as the Gaussian delay power distribution. Thus, the spatial-temporal-spectral correlation can be approximated as the product of an AR(3) process and the corresponding spatial-spectral correlation. A state space model is used to the temporal dynamics of the MIMO channels. The contribution of the cluster to each antenna is a state in this model. A correlated innovation process adjusts the correlation between antennas and frequencies. This renders the appropriate spatial-temporal-spectral channel correlation in the simulated channels.
Keywords
Gaussian distribution; MIMO communication; OFDM modulation; Rayleigh scattering; telecommunication channels; 2D Rayleigh clusters; AOA; AOD; AR(3) process; Gaussian angular power distributions; Gaussian delay power distribution; MIMO-OFDM channel model; MIMO-OFDM channel simulator; Rayleigh scattering cluster; correlated innovation process; scattering clusters; spatial-spectral correlation; spatial-temporal-spectral correlation; spatial-temporal-spectral correlation properties; state space model; state space representation; temporal dynamics; Aerospace electronics; Antenna arrays; Channel models; Correlation; MIMO; Scattering; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Fall), 2012 IEEE
Conference_Location
Quebec City, QC
ISSN
1090-3038
Print_ISBN
978-1-4673-1880-8
Electronic_ISBN
1090-3038
Type
conf
DOI
10.1109/VTCFall.2012.6399015
Filename
6399015
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