DocumentCode :
2524539
Title :
Gaussian Angular Distributed MIMO Channel Model
Author :
Li, Xin ; Ekman, Torbjörn
Author_Institution :
Dept. of Electron. & Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear :
2011
fDate :
5-8 Sept. 2011
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents an AR(3) based state space MIMO channel model, in which the joint angular power PDF of AOA and AOD is assumed to be Gaussian. The channel´s spatio-temporal correlation is approximated as the product of an AR(3) process and the corresponding spatial antenna correlation. A state-space representation is employed to model the temporal dynamics of the MIMO channels. To obtain the appropriate spatio-temporal channel correlation in the simulated channels, a correlated innovation process is used.
Keywords :
Gaussian processes; MIMO communication; antenna arrays; autoregressive processes; Gaussian angular distributed MIMO channel model; autoregressive processes; correlated innovation process; joint angular power PDF; spatial antenna correlation; spatiotemporal channel correlation; state-space representation; temporal dynamics; Aerospace electronics; Antennas; Approximation methods; Channel models; Correlation; MIMO; Scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
ISSN :
1090-3038
Print_ISBN :
978-1-4244-8328-0
Type :
conf
DOI :
10.1109/VETECF.2011.6093141
Filename :
6093141
Link To Document :
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